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I am an Assistant Research Professor at Cornell University’s Center for Data Science for Enterprise and Society.

My interests include development economics, transparency in social science and using machine learning to solve problems in development.

My research agenda encompasses two often interrelated topics: the first is using data science methods to bridge data gaps and construct novel datasets, and the second is applying these methods to solve problems in developing countries, especially in the context of the labor market. I am passionate about studying the effects of new technologies in developing countries and how they change household decision-making.

Research

Published Works
Working Papers
Works in Progress
Book Chapters and Other Publications

Appointments

2021-present Assistant Research Professor Center for Data Science for Enterprise and Society, Cornell University

Education

2021 Agricultural and Resource Economics, UC Davis PhD
2014 Economics CUNY Hunter College BA/MA
2014 Philosophy CUNY Hunter College BA

Editorships

2023 Special Issue Guest Editor Harvard Data Science Review 5.3
Reinforcing Reproducibility And Replicability

Peer Review

Journal of Agricultural and Food Economics; American Journal of Agricultural Economics; Socio-Economic Planning Sciences

Teaching

Fall 2023 Empirical Methods for Applied Economists Instructor Cornell University
Summer 2019 Undergraduate Econometrics Instructor UC Davis
Fall 2018 Microeconomics TA UC Davis

Service

Summer 2023 - Present GAIN Mentor
Fall 2022 - Present Mentor for STAAARS+
Fall 2017 - Present BITSS Catalyst Grant
2017 Graduate Student Association President

Languages and Skills

English: Fluent

Russian: Fluent

Ukrainian: Conversational

Technical Skills

Python, R, Stata, GitHub, Bash, GAMS

Past Experience

July 2023 - August 2023 Breakthrough Tech AI Faculty Lead Mentor Summer 2024 - Machine Learning Foundations
April 2023 - Present World Bank Corporation Short-Term Consultant Using Data Fusion to Improve Human Capital Indicators
January 2020 - July 2022 UC Davis Consultant MINIMOD - Optimal Nutritional Interventions across Space and Time
September 2019 - December 2019 Uber Inc. Data Science Intern Pricing and Demand
July 2016 - September 2019 UC Davis Research Assistant Disease Suppressive Crop Rotations

Conferences/Presentations

NEUDC 2022 Genetic Dilution erodes productivity: Exploring farmers’ low adoption levels of improved maize in Ethiopia
PACDEV 2022 Urban Labor Supply Responses to Rural Drought Shocks on Rideshare Platforms.
NEUDC 2021 Urban Labor Supply Responses to Rural Drought Shocks on Rideshare Platforms.
BITSS RT2 2020 Dynamic Documents with Jupyter Notebooks
AAEA 2019 Evaluating a Systems Approach to Suppressive Crop Rotations in Strawberry Production
AAEA 2018 Political Contributions and the Case of South African Land Reform
AAEA 2017 The Economic Viability of Suppressive Crop Rotations in Organic Strawberry Production
Empirically Estimating the Impact of Weather on Agriculture
EEA 2014 The Russian Mir and Agrarian Transition
CUNY’s UGRC 2013 Large Frontiers and Coercion: An Economic Perspective

Scholarships and Awards

Summer 2023 Azure Cloud Computing Grant
H-1B Policy and Women’s Labor Force Participation: A study of the Indian Marriage Market
Summer 2022 NSF OSP: 142678
Conference on Reproducibility and Replicability in Economics and Social Sciences (CRRESS)
Summer 2022 Dyson AEP Faculty Seed Grant
The Surname-Ethnicity Connection: A Validation Exercise
Spring 2022 Dyson AEP Faculty Seed Grant
Climate induced soil salinity impacts on agricultural productivity and livelihood diversification in the Sundarbans, India
Winter 2021 (CGIAR) SPIA small grant for agricultural innovations in Ethiopia
Fall 2014 - Spring 2016 Steindler Fellowship
Spring 2017 Henry A. Jastro Grant
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