Statistical Science Alumni

Francisco Beltran
 

 


 

 Francisco Beltran

Francisco Beltran graduated with a PhD in statistics from UC Santa Cruz and completed a postdoc assignment at LLNL. He is currently a statistician working in the applied statistics group at Lawrence Livermore National Laboratory.

 

More About Francisco

What was your area of study (or degree program) in the Baskin School of Engineering?

I was in the PhD program in the Statistics Department (AMS at the time). My research involved spatio-temporal models for large datasets with an application on climate research and prediction using parallel computing.

Who/what inspired to choose statistics?

My undergraduate advisor Professor Sam Behseta planted the seed of studying statistics in graduate school. Upon meeting the UC Santa Cruz statistics faculty (Sansó, Lee, Kottas, Prado) during my visit at UCSC, I knew Bayesian statistics at UCSC is what I wanted to study.

When did you graduate/receive your degree?

I received my PhD in statistics from UCSC March 2014.

Tell us a bit about your research during your time at UCSC, and how that has influenced you afterwards?

Under the supervision of Professor Bruno Sansó we developed sophisticated spatio-temporal models for multi-resolution sea-surface temperature (SST) using parallel computing. By incorporating long-term coarse resolution SST and high resolution over a smaller time period and area, we were able to predict SST over a span of 50 years at a high resolution. Using parallel computing we developed an efficient sampling scheme that partitioned the problem across processors. Thus allowing us to model long-term temporal behaviors. The skills and lessons I learned while conducting research and studying at UC Santa Cruz have largely influenced the manner in which I approach my current research on a daily basis. The high standards for rigorous statistical analysis, set by the faculty and my advisor, have carried forth into all aspects of my work.

Where are you now? What are you doing?

I currently work as a statistician at Lawrence Livermore National Laboratory in Livermore California. I work on ‘things’ and ‘stuff’ and it’s really fun. I am married with no kids :) but we’re thinking about getting a cat. I currently live in the bay area.

How did your experience in the Baskin School of Engineering prepare you for your future?

In BSOE you’re surrounded by other graduate students from different departments. You learn how to communicate with experts in different fields of study. Being able to communicate statistical methodologies to colleagues with no statistical background is a valuable tool that BSOE provided.

Where did you go to school before coming to UCSC?

I received my BS in Mathematics at Cal-State Bakersfield.

Where did you grow up?

I grew up in the small farming town of Buttonwillow California.

What was your favorite course as a student in the Baskin School of Engineering and why?

My favorite course is probably the 207 class (Intermediate Bayesian Statistical Modeling). 207 was an early class (8:00 am) in which we were all barely lucid and it was taught by Professor Sansó. It was an entertaining class with many notable quotes that I still use to this day. It was also the class that solidified my interest in Bayesian statistics.

Who were the most influential professors for you and why?

My advisor Professor Sansó. He was a great mentor both academically and personally. He had a way of making you think outside the box and would push you to bring out the best in yourself. Plus he’s hilarious.
Professor Prado initiated my interest in time-series analysis. Her door was always open and she was willing to help me even though I was not her graduate student.

What did you do for fun while at UC Santa Cruz?

There were a lot of fun things to do in Santa Cruz. We would play soccer (with professors) on Sundays up on campus. Three times a week we’d go to the climbing gym on Seabright Ave. Walking on the beach, hiking in the redwood forest, having a drink or two at the yacht club, and playing air hockey and skee-ball at the boardwalk.

What do you miss most about Santa Cruz?

The people and the ocean. I met the best friends I have in Santa Cruz. I also miss the faculty, it was a great group of people and I miss interacting and hanging out with them.

What advice do you have for current Statistics grad students?

Work really hard, you have an amazing faculty at your disposal. Ask them questions and develop your curiosity. Work together with your fellow grad students and learn from each other. And don’t shy away from contacting alumni, we are usually pretty nice and sometimes helpful.

Do you have a funny story to share from your time as a grad student?

One that comes to mind is the time we had a foosball tournament against the professors. We brought snacks, desserts, and our game faces to face the faculty in a 2v2 foosball extravaganza. I don’t remember who won, so it’s fair to assume that the faculty won.

Brenda Betancourt





 Brenda Betancourt

Brenda Betancourt is currently an Assistant Professor in the Department of Statistics at the University of Florida. Previously, she was a Postdoctoral Associate in the Department of Statistical Science at Duke University working on Bayesian models and algorithms for entity resolution. Originally from Bogotá, Colombia, Brenda obtained her undergraduate degree at Universidad Nacional de Colombia where she was trained in classical statistics. In 2008, she completed her M.S. in Statistics from the University of Puerto Rico, Río Piedras where she started her work in Bayesian Statistics. She moved to California in 2010 to pursue a PhD in Statistics at the University of California, Santa Cruz where she worked on Bayesian models for network analysis.

More About Brenda

What was your degree program in the Baskin School of Engineering?

Applied Mathematics and Statistics

Who/what inspired to choose statistics?

Finding statistics was a lucky strike for me. I knew I liked math in high school but I didn’t know studying statistics was a “thing.” When I was looking for an undergraduate program in Colombia I found a program in statistics and I decided that it was the perfect combination of mathematics and applications for me. Since then, I just followed the path to the PhD

When did you graduate/receive your degree?

I graduated in September 2015.

Tell us a bit about your research during your time at UCSC, and how that has influenced you afterwards?

My research at UC Santa Cruz was focused on models for network data using Bayesian statistics. I learned a lot of modeling and data analysis tools during my research training at UCSC that have allowed me to continue working on research in this area as well as other interesting practical problems that require the development of novel statistical methodology and efficient computational algorithms.

Where are you now and what are you up to?

In August of this year I started an Assistant Professor position at the University of Florida in Gainesville. Previous to that I was a postdoctoral researcher at Duke University for 3 years. After my PhD, I continued working on Bayesian methods applied to networks, entity resolution and other applications that include official statistics, health and human rights.

How did your experience in the Baskin School of Engineering prepare you for your future?

From learning English (I was not fluent when I started my PhD) to receiving an outstanding formation in Bayesian Statistics, my time at UCSC was a life-changing experience for me. I never thought it was possible for someone with my background to follow an academic path in the U.S. but thanks to the excellent mentoring and education I received at UCSC I have had many opportunities that put me in the position I am today with all the necessary tools to succeed.

What was your favorite course as a student in the Baskin School of Engineering and why?

The Bayesian Statistical Modeling class was my favorite because it provides the core tools of Bayesian methodology that are later needed in more specialized classes such as Time Series Analysis and Spatial Statistics.

Who were the most influential professors for you and why?

My PhD advisor, Abel Rodríguez, was and still is the most influential professor for me. In addition to being excellent in statistics and great to work with, he also played a key role in my decision to pursue an academic career by providing mentoring and support during the whole process.

What was the best thing about being a student in the Baskin School of Engineering?

The best thing was that the school is composed of a diverse group of students and faculty that made the adaptation and the PhD process easier for me. The school has a great environment that encourages learning without toxic competitiveness and people are friendly and open minded. During my time at UCSC I made very good friends that I consider friends for life. I am very grateful for that as well as the professional opportunities it has brought me.

What did you do for fun while at UC Santa Cruz?

I love hiking! Campus and the surrounding areas are absolutely beautiful and great for hiking.

What do you miss most about Santa Cruz?

I miss the amazing view of the Monterey Bay and the redwood forest! Santa Cruz is also a very peaceful and safe place to live.

What advice do you have for current statistics grad students?

Keep working hard but also enjoy your time there and take advantage of the beauty of the place. Looking back I wish I had enjoyed my time there more!

Maria De Yoreo

 
 

 



 Maria De Yoreo

I am a statistician at the RAND Corporation in Santa Monica where I work on interesting and wide ranging problems using statistical techniques to make inference from data and inform policy questions. Much of my work involves evaluations of health care programs and interventions, but I’ve also worked on colorectal cancer modeling and military health, among other topics. I love living near the beach, and when I am not working, I am usually riding my bike on the Pacific Coast Highway (same as Highway 1 in Santa Cruz) and the Malibu Hills/Santa Monica Mountains, swimming in the pool or the ocean, or just relaxing outside or at cafes and walking around enjoying the outdoors. I also love to travel, and generally go on at least one international trip each year. This year I vacationed in Italy and Argentina.

More About Maria

What was your area of study [or degree program] in the Baskin School of Engineering?

I completed my PhD in statistics within the Department of Applied Mathematics and Statistics. I developed Bayesian nonparametric models for regression with binary and ordinal responses.

Who/what inspired to choose statistics?

I majored in math at UC Santa Barbara because I loved calculus, but when I got to the “abstract algebra” class where I had to prove things that seemed obvious (but were very difficult to prove!), and started to learn about “groups” and “rings” I decided I didn’t want to be a mathematician. Luckily, around the same time I took a statistics class and an operations research class, which I absolutely loved, and quickly realized I liked statistics and applied math more than pure math. During my senior year of college I took the first actuary exam, but eventually decided to pursue graduate school in statistics instead, which was definitely a good choice!

When did you graduate/receive your degree?

2014

Tell us a bit about your research during your time at UCSC, and how that has influenced you afterwards?

My research at UC Santa Cruz was focused on Bayesian nonparametric modeling for ordinal regression. I was advised by Athanasios Kottas, who was (and continues to be) a wonderful mentor. I was fortunate to be connected to researchers at NOAA/NMFS who provided data on fish maturity and body characteristics that led to the final (and probably most interesting) chapter of my thesis, which developed dynamic ordinal regression models (dynamic because the ordinal regressions are indexed and change across time) to capture the relationship between fish maturity, body length, and age across time. I continue to use Bayesian nonparametrics models, and the way I learned to think about modeling data and come up with new models for data during my PhD work continues to be helpful today.

Where are you now? What are you up to?

I work at RAND in Santa Monica, CA. I work on lots of multi-disciplinary teams, for instance with health policy researchers, economists, behavioral scientists, and psychologists. I am the statistician on these projects, which involves analysis planning, modeling, data analysis, and interpretation/writing of reports and papers. Because of the applied/public policy oriented nature of my work at RAND, I am continually learning about new substantive research areas (health policy, military health care, substance abuse, etc.) I am also now serving as an Associate Editor of a journal (Annals of Applied Statistics), which has been interesting.

Where did you go to school before coming to UCSC?

UCSB -- another beautiful location. Apparently I just can’t leave the coast of CA.

Where did you grow up?

Livermore and Walnut Creek/Clayton (the East Bay).

What was your favorite course as a student in the Baskin School of Engineering and why?

Well of course Bayesian nonparametrics, as I ended up doing my PhD research in this area. But I also really enjoyed the two Bayesian Inference classes, generalized linear models (because it covered so much and was so practical), and time series with Raquel Prado, even if it did stress me out at times due to the difficulty of the material and homework!

Who were the most influential professors for you and why?

Well of course my advisor, Athanasios Kottas! But I truly loved all of the statistics professors in the Baskin School of Engineering. They were all incredibly helpful to me as teachers, and in giving advice, and writing letters of recommendation for me after grad school. One of the best things about the department at UCSC was in fact the professors.

What was the best thing about being a student in the Baskin School of Engineering?

The fact that you are in a forest! You can step out behind the building to go for a run/walk any time!

What did you do for fun while at UC Santa Cruz?

Swam with masters (CRUZ) at the pool at noon most days, rode my bike and ran, wine tasting at all the tasting rooms on the west side and in the Santa Cruz mountains when I moved to Los Gatos partway through grad school, and cooking/going out to eat with my husband (boyfriend, then fiance, then husband during grad school).

What do you miss most about Santa Cruz ?

The small-town feel, being on the central coast, and just the pleasant, relaxed nature of the city.

What advice do you have for current Statistics grad students?

Take as many courses on diverse topics as possible! I’m continually learning new statistical topics/methods through my work and often wish I had learned more about some topic or other. Don’t stress out too much about what you’re going to do after grad school. Have a good work-life balance and try to compress work into certain hours where you are focused and productive, and then enjoy your time off.

Kassie Fronczyk
 

 



 Kassie Fronczyk

Kassie Fronczyk completed her PhD in 2011 and became a postdoc at M.D. Anderson Cancer Center and Rice University working on Bayesian nonparametric methodology with Michele Guindani and Marina Vannucci. She decided not to pursue an academic career and moved to Washington, D.C. to work at the Institute for Defense Analyses to support the assessment of the operational effectiveness, suitability, and survivability of Department of Defense acquisitions. After she realized she is “more of a flip-flops-all-year-long kind of person,” she joined the Applied Statistics Group at Lawrence Livermore National Laboratory in 2017. There, she collaborates with engineers, physicists, and other scientists on designing experiments, analyzing data, reliability analysis, and developing methods for combining information.

More About Kassie

What was your area of study [or degree program] in the Baskin School of Engineering?

Statistics and Stochastic Modeling

When did you graduate/receive your degree?

September 2011

Who/what inspired to choose Statistics?

I was always good at math and science, but I want options in terms of applications! Statistics is a field that I can work in academia, all over industry, as well as government on a myriad of applications.

Tell us a bit about your research during your time at UCSC, and how that has influenced you afterwards.

In grad school, my focus was on Bayesian nonparametric methodology: how to relax restrictive assumptions on traditional models but retain interpretability and appropriate uncertainty quantification. One thing that has always stuck with me from that time is that we started with an actual, real world problem, and found the right tool for the task at hand. All too often I see people that have a specific method they like to use and will try to force every round problem into that square solution, even if it won’t answer their original questions.

Where are you now? What are you up to? How did your experience in the Baskin School of Engineering prepare you for your future?

I currently am the Applied Statistics Group Leader at Lawrence Livermore National Laboratory, where I lead a team of about 12 statisticians to help increase the statistical reasoning and quantitative rigor that inform decisions across the Lab. We try to foster a sense of community in our group, which is something that I learned at UCSC, where we had a group of students and faculty that looked out for each other. We tried to push each other forward without leaving anyone behind or walking on top of someone to get to the top.

Where did you go to school before coming to UCSC?

I got my BS and MS from Brigham Young University

Where did you grow up?

Born and raised in Phoenix, AZ...I do occasionally miss needing oven mitts to touch the steering wheel in my car.

What was your favorite course as a student in the Baskin School of Engineering and why?

All of the stat classes I took after the first year were fun, but I’d have to say the Bayesian Nonparametrics class was my favorite. My advisor taught it and it ended up being the focus of my research (plus I’m super nerdy). Looking back, I wish I would’ve taken some other just for kicks classes like surfing or learning a new language.

Who were the most influential professors for you and why?

All of the statistics professors. There were only a handful of them, but outside the obvious providing academic knowledge, each left a mark in different ways - everything from comedic relief (whether they knew it or not), to pushing us to get involved in professional activities and societies (most of which I’m still actively doing because of them), reminding us of work-life balance, and educating us on adult beverages (not that we could really afford the really nice ones at the time…but it was always a fun treat).

What was the best thing about being a student in the Baskin School of Engineering?

I’d say the two things I liked best were the community in general and the fact that everything was application based. No one was doing research that didn’t have a real world application.

What did you do for fun while at UC Santa Cruz?

We went to the beach, explored downtown and the city (SF or San Jose), and watched a lot of sports (mostly on tv, but we also went to games when we could). We used to also play soccer on the weekends with students and faculty from the department. I ran a lot outside too: good exercise and kept the stress level down.

What do you miss most about Santa Cruz?

The people, though I see them a lot anyway. There are actually more than a few of my grad student friends in the Bay area these days. It was also nice having campus up on the hill in the trees then the downtown area and the beach. It was like having the best of a lot of cities in one place.

What advice do you have for current Statistics grad students?

Make friends with the other students in the dept, it helps immensely to have friendly faces to see all the time. Also, make friends outside your department - it gives you perspective on how good you have it ;) Last, enjoy your time in Santa Cruz. Yes, grad school can be difficult and stressful, but there are worse things in life and definitely worse places to be!

Matt Taddy





 Matt Taddy

Matt Taddy joined Amazon in March as VP NA Consumer Chief Economist. He spent the previous ten years as a Professor at the University of Chicago Booth School of Business, working in economics, statistics and machine learning, and developed the Chicago Booth Data Science curriculum. He has also worked at Microsoft, most recently as the Head of Economics and Data Science for Business AI, and at eBay as a long-time consultant.

More About Matt

What was your area of study [or degree program] in the Baskin School of Engineering?

Applied Mathematics and Statistics PhD. I was mostly a statistician, but I did enjoy both sides of the major.

Who or what inspired to choose this area of study?

I needed work. I had a philosophy undergrad degree and I had a bunch of hair-brained ideas. One of the more reasonable ones was to do a statistics masters degree. I was at McGill University in Canada and they had these great co-op programs where I could work while getting a degree. I worked at a hospital as an intern doing statistics while I earned the two-year masters degree. I really liked it and it turned out I was decent at it. My advisors at McGill encouraged me to follow up and go to grad school. I enjoyed the field and that you could learn about a bunch of different domains. Statisticians can mess around in biology, we can get into public policy or social science. Or you can do as I’ve done in my career and get into economics and business. The idea of getting a real toolset and being able to move between fields was super attractive.

When did you graduate/receive your degree?

2008

Tell us a bit about your research during your time at UCSC, and how that has influenced you afterwards?

I did a lot of work driven by projects and funding that we were getting from Sandia National Laboratory and Lawrence Livermore National Laboratory. I just really get a kick out of getting into deep problems and trying to find ways we could use data and science to solve those problems and find better outcomes. I did a lot of really interesting statistical and mathematical research and I loved that. The biggest thing for me was the ability to get exposed to these large-scale, real-world engineering and research questions and make an impact on those problems and actually build real things.

Where are you now?

I’m Vice President North America Consumer Chief Economist at Amazon. I live in Seattle. I run science for the consumer side of the organization which is the part of Amazon most people know.

How did your experience in the Baskin School of Engineering prepare you for your future?

I think the biggest thing I got out of the Baskin School of Engineering was the confidence that when you have these statistical tools you can make a big difference to a bunch of different domains and that confidence to go in there and engage and seek out places where you can make a difference. When I graduated, I ended up going into academia as a professor. During the decade I spent as a professor I was very much focused on always finding cool problems out there in the real world. I explored all over the place from finance to tech companies to grocery stores to wherever I could find an interesting problem. I use the skills I learned in my job at Amazon.

Where did you go to school before coming to UCSC?

I received my bachelor’s and master’s degrees from McGill University.

Where did you grow up?

Victoria, BC. It’s kind of the Santa Cruz of Canada. It’s a quirky little town across the water from Vancouver.

What was your favorite course as a student in the Baskin School of Engineering and why?

I liked all of the coursework.

Who were the most influential professors for you and why?

When I arrived at UC Santa Cruz, the statistics group was pretty small, which is one of the reasons I chose to go there. I personally knew all of the professors: Herbie, Thanassis, Bruno, Raquel...all of them had a huge impact because there were so few of us. At that time, we really felt more like colleagues than students/professors. It felt like we were working together and that was fantastic. It was great how small it was. Now that they’re growing, they’ll have to find a way to keep that sense of closeness.

What was the best thing about being a student in the Baskin School of Engineering?

Santa Cruz is pretty awesome. I was a big fan of living there. Being a student there was just this wonderful environment where people are working together to solve real-world problems using the best science out there. Really open minded, sort of an engineering mindset to statistics, so figuring out the right way to use stats in order to get real things built, real systems solved. That’s what I liked about it.

What did you do for fun while at UC Santa Cruz?

I sailed a ton. I kite surfed, rode bicycles. Nic Brummell and I used to ride bikes together. I miss riding bikes with Nic.

What do you miss most about Santa Cruz?

I miss the sunshine, I miss having everything being completely open ended. I still have a lot of open ended problems in my job all the time but everything’s a lot more complicated than it was when I was a student. I miss some of that simplicity. I miss the people. That’s probably the biggest thing.

What advice do you have for current Statistics grad students?

Work on good applied problems. Don’t try to dream up problems. UC Santa Cruz is connected to cool research institutions and companies in the Bay Area. Just get yourself tapped in to real problems rather than trying to dream up problems you think fit your interests. You’ll find it much more interesting in the long run.

This is a complete list of Ph.D. alumni in statistics who received degrees through the SSM and SAM programs. This includes four students (*) who graduated (through the CS program) before the SSM program was in place, but completed the statistics required courses and were supervised by Statistics faculty. It also includes three students (**) who graduated from other universities, but were advised or co-advised by Statistics faculty and spent considerable time at UCSC working on their Ph.D. dissertation.

 

Name Year Post-Graduation Placement Title
Laura Baracaldo Lancheros linkedin 2022 UC Santa Barbara Visiting Assistant Professor
Zhixiong Hu linkedin 2022 LinkedIn Machine Learning Engineer
Chunyi Zhao linkedin 2022 Meta Data Scientist
Wenjie Zhao linkedin 2022 Colaberry Data Scientist
Xiaotian Zheng linkedin 2022 University of Wollongong Research Fellow
Raquel Barata linkedin 2021 Penn State World Campus Lecturer
Isabelle Grenier 2021 Verisk Analytics Statistician
Rene Gutierrez Marquez linkedin 2021 Texas A&M Postdoctoral Researcher
Hyotae Kim 2021 Duke University Postdoctoral Researcher
Arthur Lui linkedin 2021 Los Alamos National Lab Statistician
Xingchen Yu linkedin 2020 The Climate Corporation Data Scientist
Daniel Kirsner linkedin 2020 JPMorgan Chase & Co Vice President, Quantitative Modeling Lead
Rui Meng linkedin 2020 Lawrence Berkeley National Lab Postdoctoral Researcher
Kurtis Shuler 2020 Sandia National Lab Statistician
Daniel Spencer linkedin 2020 Indiana University, Bloomington Research Associate
Sharmistha Guha linkedin 2019 Texas A&M Assistant Professor
Sisi Song  2019 Exponent Scientist
Matthew Heiner linkedin 2019 Brigham Young University Assistant Professor
Georgi Dinolov linkedin 2019 Freedom Financial Asset Management Data Scientist
Cheng-Han Yu linkedin 2018 Marquette University Assistant Professor
Nicole Mendoza Shoblom linkedin 2018 Walmart Senior Data Scientist
Juan Camilo Sosa 2018 Universidad Externado, Columbia Professor
Pedro Regueiro linkedin 2017 Veritas Technologies Principal Data Scientist
Yifei Yan linkedin 2017 Amazon Research Scientist
Devin Francom linkedin 2017 Los Alamos National Laboratory Research Scientist
Annalisa Cadonna linkedin 2017 Crayon AI Center of Excellence for Europe Senior Data Scientist
Tony Pourmohamad linkedin 2016 Genentech Biostatistician
Brenda Betancourt linkedin 2015 University of Florida Assistant Professor
Robert Richardson linkedin 2015 Brigham Young University Associate Professor
Sai Xiao linkedin 2015 Pinterest Machine Learning Engineer
Joao Pereira ** 2015 Universidade Federal de Rio de Janeiro, Brazil Assistant Professor
Francisco Beltran linkedin 2014 Lawrence Livermore National Laboratory Statistician
Maria DeYoreo linkedin 2014 RAND Corporation Associate Statistician
John Guenther linkedin 2013 Hartnell College Instructor
Valerie Poynor linkedin 2013 CSU Fullerton Associate Professor
Yuning He 2012 NASA Ames Research Scientist
Ziwei Wang 2012 IAC Publishing Labs Senior Manager of SEM Analytics
Waley Liang linkedin 2012 Target Lead Data Scientist
Jing Chang  2011 Hunan University of Art and Science Faculty Member
Tracy Holsclaw linkedin 2011 San Jose State University Lecturer
Marian Farah linkedin 2011 Zymergen, Inc. Data Science Manager
Kassandra Fronczyk  2011 ICR Inc. Data Scientist
Saheli Datta  2011 Microsoft Senior Applied Scientist
Ricardo Lemos ** linkedin 201 The Climate Corporation Staff Quantitative Researcher
Angela Pignotti linkedin 2009 Modesto Jr. College Mathematics Professor
Matthew Taddy linkedin 2008 Amazon Economist Vice President Technology, Chief Economist for North America
Aline Nobre ** 2007 Fundação Oswaldo Cruz, Rio de Janeiro, Brazil Associate Professor
Daniel Merl *  2006 Lawrence Livermore National Lab Head of Machine Intelligence Group
Weining Zhou *  2006 Apple Research Scientist
Milovan Krnjajiclinkedin 2005 Maxim Integrated Director, Advanced Analytics
Robert Gramacy 2005 Virginia Polytechnic and State University Professor

This is a list of M.S. alumni since 2012 who received degrees through the SSM and SAM programs.

 

Name Year Placement Title
Chloe Zhang 2021 CVS Health Data Scientist
César Aviles-Guaman 2021 UC San Francisco Research Data Analyst
Kelsey Blackstone 2021 Climate Corporation Unknown
Ricardo Figueroa Ordaz 2021 Unknown  Unknown
Grant Hutchings 2021 Simon Frasers University PhD Student, Statistics
Sampson Mao 2021 UC Santa Cruz Junior Specialist
Clayton Olsen 2021 Sparta Science Data Science Intern
Meltem Ozcan 2021 University of Southern California PhD Student, Quantitative Methods and Computational Psychology
Shea Reynolds 2021 CSU Monterey Bay Lecturer
Meghan Rice 2021 Unknown Unknown
Amanda Coleman 2020 Naval Postgraduate School Faculty Associate
Alex Pearson 2020 Unknown Unknown
Mark Beers 2019 UC Irvine PhD Student, Cognitive Sciences
Diana Gerardo 2019 Duke University Statistician II
Mary Silva 2019 Lawrence Livermore National Lab Data Scientist
Sarah Jarvis 2019 Lineage Logistics Data Scientist
Michael Linscome-Hatfield 2019 Neptune and Company Statistician
Chelsea Lofland 2018 Electronic Arts Unknown
Fan Yang 2018 Unknown Unknown
Brandyn Ward 2018 Naval Air Systems Command Artificial Intelligence Engineer
Sam Leonard 2018 University of Texas Arlington PhD Student
Shu Huo 2018 UC San Francisco Statistician
Brett Stacy 2018 University of Tasmania PhD Student
Bohan Liu 2018 Unknown Unknown
Michael Warner 2018 Boostability Data Scientist
Alexander Terenin 2017 Imperial College London Graduate Student
Xin Ma 2016 Amazon Data Scientist
Daniel Helkey 2016 Unknown Unknown
Garima Garg 2016 Kohls Data Scientist
Niranjan Vissa 2016 Thermos Fisher Scientific Life Technologies Staff Scientist, Bioinformatics
Tianyao Lu 2016 Stanford Medical Center Biostatistician
Brenton Blair 2015 Lawrence Livermore National Lab Applied Statistician
Jing Cao 2015 Convoy Inc Data Scientist
Ariana Hedges 2015 Brigham Young University Graduate Student
Kenna Nelson 2015 Stitch Fix Data Scientist
Vadim Von Brzeski 2015 eBay Data Scientist
Jairo Fuquene 2014 UC Davis Assistant Professor, Department of Statistics
Nicholas Grunloh 2014 National Oceanic & Atmospheric Administration Administration Statistician
David Hall 2014 Children's Oncology Group Statistician
Celeste Tretto 2014 Splunk Data Scientist
Colin Southwood 2013 Unknown Unknown
Samantha Crane 2012 SeeScan Software Engineer
Changhui Mao 2012 PAREXEL Biostatistician
Julissa Martinez 2012 YouGov Senior Survey Analyst
Morgan Mendoza 2012 Cengage Learning Content Developer
Killian O'Connor 2012 Cogo Labs Associate Data Scientist
Caleb Wright 2012 LinkedIn Product Analytics Intern