Meet the Team

Rebecca holds a bachelor’s degree of information and media from the University of Technology Sydney and a post graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in technical writing for games dev and has written for tech publications.

Adeel holds a Ph.D. in computational particle physics from the University of Delaware. He has taught physics at Ursinus College and Calpoly. Currently, he is passionately pursuing a career in data science.

Margaux is a data scientist at McKinsey & Company, Sydney. Margaux holds a Bachelor’s in Computer Science and Mathematics from Télécom Paristech (“Grande Ecole”), and a Master’s in Statistics from Imperial College, London.

A generalist with a passion for people, data, and technology currently working as an enthusiast software developer with a data scientist twist in the Software Innovation team at Equinor. He is focused on exploring new data-driven ideas and challenges by using predictive analytics, machine learning, and software engineering practices.

Melissa is a Data Scientist at Uber. Before Uber, Melissa worked as data scientist at Square supporting the product team with her own machine learning models. Melissa got a B.S in Computer Science and Mathematics with a minor in Economics from Duke University. Her thesis research was in computational game theory, applying game theoretic models to prevent cheating in casinos.

Jennifer is a Research Fellow in the Department of Biomedical Engineering at the University of Texas, Austin. Jennifer’s bioinformatics and computational work is centered on taking very large, complex data sets and applying data visualization techniques, iterative corrections and machine learning algorithms to derive meaningful interpretation. Jennifer holds a PhD in Tumor Biology from Georgetown University in Washington DC, and possesses 10+ years experience using statistical methods and modeling for cancer research.

Elissa’s interests include using smart grid big data, predictive analytics, and machine learning to create data-driven solutions to energy efficiency and electrical grid management. She currently works as the senior software engineer with OhmConnect. Elissa received her M.S. in Energy Tech. Engineering from Stanford University and her B.S. in Civil and Environmental Engineering from Carnegie Mellon University.

Roman obtained his Ph.D. in Computer Science from University of British Columbia. He worked on Monte Carlo framework method based on Markov chain and sequential Monte Carlo for efficient sampling from high-dimensional distributions. Roman specializes in Monte Carlo methods (MCMC, SMC), Bayesian statistics, machine learning, natural language understanding. He previously worked as a Senior Sceintist with Bing query understanding team at Microsoft.

Yuan has extensive statistical modeling experience in linear models, logistic models, time series models, decision trees, model regularization, and cross validation. Yuan has a PhD in Economics from the University of California at Davis.

David is an experienced statistician. He specializes in using statistical analysis and mathematical modeling to aid in data-driven decision making and forecasting.

John is constantly amazed by the amounts of data available around us and thinks about how to squeeze the maximum amount of meaning from those data. He also thinks about how to offload as much work as possible to machines without losing accuracy. John holds a BS in Electrical Engineering and Computer Science and a BA in Cognitive Science from UC Berkeley. John worked on automatic computer virus classification using machine learning and collaborative filtering using social networks.

Fahad has over a decade of research, software development, and teaching experience in the area of machine learning, data mining, and distributed systems. He has worked with Bing data mining and social incubation teams on a variety of problems in bot detection, data mining, automatic detection of cause of any abnormal shift in web traffic patterns, user behavior analysis, and multi-dimensional modeling.