RiskEcon® Lab Alumni (N-Z)

Yicheng Pu is currently working at J.P. Morgan, as a member of the consumer and community banking business modeling team, focusing on ML/AI algorithms. He graduated with a Masters degree in Data Science from the NYU Center for Data Science. While working at RiskEcon® Lab, he conducted research on applying Deep Learning and Natural Language Processing techniques to build a news recommendation system, coordinated with an AI Fintech company. His most recent academic interests have focused on Natural Language Processing, and he has also worked for a consulting firm and a hedge fund to provide assistance in information retrieval from text data, using advanced machine learning and deep learning models.

He graduated with a B.S. degree double major in Mathematics and Statistics from University of Illinois at Urbana Champaign in 2017. During his degree, he contributed to research in topology and road traffic optimization, working on the project “Traffic Patterns in Manhattan“.

Taehoon Song


Taehoon interned at RiskEcon® Lab during 2015-2016, conducting research on the potential environmental and economic impact of the hypothetical derailment of Bakken crude-oil tank trains along the Hudson River. He worked under the guidance of senior industry professionals and presented a final research product to Scenic Hudson, one of the nation’s largest environmental conservation non-profit organizations. This project was part of the RiskEcon® Lab CEcADA external partnership initiative.

Taehoon graduated with a Bachelor of Science in Accounting and Statistics from NYU Stern School of Business, and currently works in Washington DC as a Data Analyst in the Securities Practice Group of Cohen Milstein Sellers & Toll, a law firm with over ninety attorneys, specializing in complex class actions including antitrust, civil rights and employment, consumer protection, employee benefits, and product liability.

Andrew Sundstrom


Andrew was a Senior Research Scientist at RiskEcon® Lab from 2013 to 2014. He collaborated with David Mordecai on research involving the evolving metabolic heterogeneity of a tumor cell population as an economic phenomenon. Dr. Mordecai was invited to make presentations to the Physical Sciences Oncology Center (PS-OC) at Princeton University in January 2014, and subsequently to the members of the PS-OC Steering Committee in March 2014, upon which the Steering Committee extended an invitation to attend the April 2014 national meeting at the NIH for further discussion and exploration.This project was part of the RiskEcon® Lab CEcADA external partnership initiative.

Andrew is currently an Assistant Professor in Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai. He graduated with a Ph.D. in Computer Science and Computational Biology from NYU.

Sourabh Taletiya


Sourabh was a Research Intern at RiskEcon® Lab during 2015. He served as a programmer supporting a RiskEcon Lab collaborative research project, being supervised by Drew Dimmery from the Social Media and Political Participation (SMaPP) Lab, an interdisciplinary collaboration that examines the impact of social media on political behavior by iterating through stages of model development, testing, refinement, and validation. Sourabh’s responsibilities included engineering an open source toolkit with concrete functionalities such as aggregator, filter, data visualization and machine learning methods, using Python, NodeJs and MongoDB. This project was part of the RiskEcon® Lab CEcADA external partnership initiative.

Sourabh earned a M.Sc. in Computer Science from NYU Tandon School of Engineering, and has been employed as a Software Developer at Walmart Labs since graduation.

Tai Young-Taft


Tai was an advisee of RiskEcon® Lab in 2012 (in conjunction with the NYU Social Science Dean) on parimutuel prediction market research on political risk surveillance as part of the RiskEcon® Lab CEcADA inititiative, while he was a post-doctoral researcher and adjunct economics instructor at NYU.

Tai is currently a Research Scholar at the Levy Institute (with research interests including stock-flow consistent modeling, stochastic dynamical systems, and derivatives markets), and an assistant professor of economics at Bard. He was previously an instructor at Gulf University for Science and Technology in Kuwait, and at St. Francis College (Brooklyn).

Tai holds a Ph.D. in Economics from the New School for Social Research, an M.A. in Statistics from Yale University, and a B.A. in Political Science from Reed College.