Professional Experience

Quant Researcher — Point72

2026 - Present · New York, NY

Machine Learning Researcher — Morgan Stanley

2022 - 2026 · New York, NY

deep Learning forecasting & nowcasting synthetic data recommender systems

Quant Strategist/Modeler — Goldman Sachs

2018 - 2022 · New York, NY

time series econometrics survival analysis

Miscellaneous

Reviewer Service

I have served as a referee for the following journals over the years:

• Journal of the American Statistical Association (JASA)
• Biometrika
• Econometrics and Statistics (ECOSTA)
• International Statistical Review (ISR)
• Journal of Computational and Graphical Statistics (JCGS)
• Transactions on Machine Learning Research (TMLR)

Quant Strategist Summer Intern - Goldman Sachs

Summer 2016; Summer 2017 · New York, NY

Graduate Student Instructor / Research Assistant

Sept 2013 - April 2015; May 2015 - April 2018 · Ann Arbor, MI

• Lab instructor for Intro to Statistics and Data Analysis (STAT250); Statistical Computing (STAT406); Data Mining (STAT415)
• Research Assistant for Dept. of Statistics; Dept. of Computational Medicine and Bioinformatics; UM Health System, Brehm Center for Diabetes Research
  • Interdisciplinary papers produced: Sas et al. 2018 in J. of Lipid Research; Afshinnia et al. 2019 in JCI Insight; Sas et al. 2021 in Metabolomics