Utkarsh Nath was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2020-2021, participating in a workstream exploring more robust and lower-latency deep learning algorithms for object detection and pose estimation in collaboration with the Agile Robotics and Perception Lab (ARPL) at NYU Tandon School of Engineering.
Utkarsh graduated with an M.Sc. in Computer Science from Courant Institute in 2021, and is currently pursuing a Ph.D. in Computer Science at Arizona State University.
Radhika Nikam was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2019-2020, participating in a workstream on analyzing wildlife camera trap images. While a Lab member, Radhika also participated in Hack the Machine (a hackathon co-sponsored by Numerati® Partners LLC for solving challenges for the US Navy), as a member of a team that placed first in the Data Science track, working on predictive maintenance of an F-18 fighter.
Radhika graduated with an M.Sc. in Computer Science from Courant Institute in 2021. Subsequent to graduation, Radhika worked as a Research Associate at Numerati® Partners LLC. She is currently a Software Engineer at WePay (a unit of JPMorgan Chase).
Yicheng Pu worked at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2018-2019, conducting research on applying Deep Learning and Natural Language Processing (NLP) techniques to build a news recommendation system, in coordination with a fintech company.
Yicheng graduated with an M.Sc. in Data Science from NYU Center for Data Science in 2019, and currently works at Huawei.
Rohan Raj was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2018-2020, participating in a workstream on image recognition and text recognition use cases.
Rohan graduated with an M.Sc. in Computer Science from Courant Institute in 2021, and currently works as a Software Engineer at YouTube.
Alfred Rajakumar was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2019-2020, participating in a research workstream on statistical analysis of encrypted time series.
Alfred graduated with an M.Sc. in Mathematics from Courant Institute in 2021, and is currently a Machine Learning Engineer at Epic for Kids.
Edwin Reed-Sanchez was a Junior Research Scientist at RiskEcon® Lab for Decision Metrics from 2016 to 2019, participating in pilot projects implementing field deployment of open source communications prototypes, as founder of SayCel, which implements low-cost communications infrastructure prototype as a pilot project in Nicaragua.
RiskEcon® Lab funded his collaboration for research and preparation of a paper on the design, implementation and deployment of the GreenApps cellular application for rural communications installed on open source cellular base stations in Ghana and Nicaragua, subsequently published in COMPASS ‘18: Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies. In conjunction with his research role, RiskEcon® Lab sponsored a wireless network hackathon at Courant organized by Saycel in collaboration with Rhizomatica, a Mexico based non-profit supporting sixteen indigenous community wireless networks with FreeRadio Brazil. Subsequent to co-funding by RiskEcon® Lab, the UNICEF Innovation Fund (2016 cohort), and the 2018 OpenCellular Grant, RiskEcon® Lab and National Science Foundation co-funded his participation in the WiFi mesh and sensor network pilot project at the Black Rock Forest Consortium biological field station in upstate New York. He presented some of this research at the inaugural InsurTech Science and Engineering Expo co-hosted by Numerati® Partners and RiskEcon® Lab in 2018.
Vikram Sakkia was a graduate research assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2019-2020, participating in a research workstream on developing IoT networks for a range of use-case applications including waste management, food spoilage, and emergency evacuation.
Vikram graduated with a M.Sc. in Computer Engineering from the NYU Tandon School of Engineering in 2021, and is currently a Cellular Technologies Software Engineer at Qualcomm.
Ryan Saxe was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2017-2019, working on applications of advanced computational methods (e.g., Machine Learning). (Read the 2021 co-authored preprint paper from this workstream: Classification of Pathological and Normal Gait: A Survey.)
Ryan graduated with an M.Sc. in Computer Science with a Data Science specialization from Courant Institute in 2020, and is currently Senior Global Manager of Data Science & Analytic at Anheuser-Busch InBev.
Taehoon Song interned at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU during 2015-2016, joining a workstream on the potential environmental and economic impact of the hypothetical derailment of Bakken crude-oil tank trains along the Hudson River, working under the guidance of senior industry professionals. The research was presented 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 B.S. in Accounting and Statistics from NYU Stern School of Business in 2016, and an M.S. in Statistics from George Mason University in 2021. He is currently a Data Engineer at Cohen Milstein.
Andrew Sundstrom was a Senior Research Scientist at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2013-2014. He collaborated with David K.A. Mordecai on research involving the evolving metabolic heterogeneity of a tumor cell population as an economic phenomenon. Dr. Mordecai was subsequently 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 graduated with a Ph.D. in Computer Science and Computational Biology in 2013, and an M.Sc. in Computer Science from Courant Institute. He is currently Project Manager at Siemens.
Sourabh Taletiya was a Research Intern at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU during 2015. He served as a programmer supporting a RiskEcon® Lab collaborative research project, being supervised by Drew Dimmery at the NYU Social Media and Political Participation Lab (SMaPP), 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 an M.Sc. in Computer Science from NYU Tandon School of Engineering in 2015, and is currently employed as a Senior Software Engineer at Walmart Global Tech.
Yijun Tian was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU during 2019, participating in a workstream on applying Natural Language Processing (NLP) techniques to the legal domain.
Yijun graduated graduated in 2020 with an M.Sc. in Computer Science from Courant Institute, with a focus on Natural Language Processing (NLP), and is currently pursuing a Ph.D. focusing on Network Science Research at University of Notre Dame.
Mengheng Xue was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2019-2020, participating in a workstream on signal processing and the disaggregation of electricity usage patterns. (See the 2020 preprint Energy Disaggregation with Semi-supervised Sparse Coding related to this workstream.)
He graduated with an M.Sc. in Financial Engineering from NYU Tandon School of Engineering. Mengheng currently works as a Financial Data Scientist for Everly Life.
Neeraj Yadav was a Graduate Research Assistant at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU from 2019-2020, participating in a research workstream focusing on road segmentation analysis employing satellite imagery.
Neeraj graduated in 2021 with a M.Sc. in Computer Science from Courant Institute and is currently a Senior Software Engineer at Paypal.
Tai Young-Taft was an advisee of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU 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 initiative, while he was a post-doctoral researcher and adjunct economics instructor at NYU.
Tai graduated with a Ph.D. in Economics from The New School for Social Research. He is currently an Assistant Professor of Economics at Bard College.
