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Miguel is currently a Data Scientist at Google. Based in Mountain View, California he serves on the Shopping Analytics team where he designs and analyzes the result of randomized control trials and causal models. Prior to Google, Miguel worked as a Quantitative Analyst for Bank of America where he validated credit risk models for conceptual soundness, limitations, and performance. In addition to his work at Google, he serves as an Adjunct Assistant Professor of Economics in the San Mateo Community College District. Miguel holds a Masters of Science (M.S.) in Applied Economics and Finance from the University of California, Santa Cruz. He also holds a Bachelor's of Arts (B.A.) in Economics and a Bachelor's of Science (B.S.) in Mathematics-Statistics from Fresno State.

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Andrew works for Assemi Group, doing data analytics with financial data, mostly analyzing local and macro economic conditions, and geospatial data related to farming (e.g., ideal crop locations, pest tracking, etc.). Additionally, Andrew does machine learning with natural language (information extraction and classification) and geospatial data (land cover classification).

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Robert Gilles is a Program Manager at the San Joaquin Valley Air Pollution Control District office in Fresno. He graduated from Fresno State with a B.S. in Civil Engineering in 2008 and began his career as a Civil Engineer for the Federal Highway Administration. He then began work as an Air Quality Engineer at the San Joaquin Valley APCD in 2011 and since 2018 has held a lead role in the Air Quality Science and Planning department. He is currently responsible for teams that complete work in key areas of the District's planning department including photochemical modeling, statistical and trends analysis, daily air quality forecasting, research, and the network of air monitoring stations across the District's eight counties.

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Marcela received her B.S. in Statistics at the University of Costa Rica, an M.Sc. in Statistics at Iowa State University, and a Ph.D. in the same field from North Carolina State University. She is interested in developing novel statistical methods to address scientific questions related to the environment and turning those experiences of interdisciplinary collaboration into teaching methods for statistics and data science. She has been the co-chair of CODATA-RDA Schools of Research Data Science since 2018, where she has been designing and teaching summer schools for early-career scientists from lower and middle-income countries who want to learn to work with data in their research in reproducible ways. 

As a legal psychologist and Assistant Professor in the Department of Criminology at Fresno State, Dr. Ditchfield investigates how individuals in the criminal justice system (e.g., risk assessors, eyewitnesses, criminal suspects, and police officers) make hard choices in high-stakes situations. By investigating decision making via experimental and modern statistical techniques, Dr. Ditchfield’s work provides insight into the psychological mechanisms that cause legal decision-making errors. Dr. Ditchfield graduated from Fresno State in 2016 with degrees in Criminology and Political Science and earned his M.S. and Ph.D. at Iowa State University in Social Psychology. He is also a member of the American Society of Criminology, the American Psychology-Law Society, and the Western Psychology Association.