Assistant Research Professorship Program

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The centerpiece of this Center is a pool of Assistant Research Professorships, in which there is a cohort of 3 hires per year, each with a 3-year appointment. As part of the Provost’s radical collaborations initiative, Cornell is investing in data science in support of building connections throughout the campus. By creating a rich ecosystem into which new hires can combine their burgeoning activity, Cornell can fully capitalize on its current leading role in this area.

There is an ongoing search to fill these positions.  Further details for applying:   Assistant Research Professor Application Info.

Assistant Research Professors

Aleksandr Michuda   (amichuda@cornell.edu)

Faculty Mentors:

Aditya Vashistha, Information Science, Cornell Bowers College of Computing and Information Science
Brian Dillon, SC Johnson, Cornell Dyson School of Applied Economics

Aleks is an Assistant Research Professor at the Center for Data Science for Enterprise and Society. Aleksandr studies how machine learning and big data can be used to solve problems in development economics. He is particularly interested in the role of rideshare applications in transforming the labor market in emerging markets. He has worked with various corporate partners to make rigorous and policy relevant research. He currently has a joint appointment in the Department of Information Science, School of Computing and Information Science and with the Dyson School of Applied Economics and Management. He graduated from UC Davis with a PhD in Agricultural and Resource Economics.

Su Jia  (sj693@cornell.edu)

Faculty Mentors:
Peter Frazier, School of Operations Research and Information Engineering, Cornell Engineering
Nathan Kallus, School of Operations Research and Information Engineering, Cornell Engineering
Karan Girotra, Johnson Grad School of Management, SC Johnson, Cornell Dyson School of Applied Economics

Su is an Assistant Research Professor at the Center for Data Science for Enterprise and Society (CDSES) at Cornell University.  His research focuses on the interplay between data, algorithms, and markets. More precisely, Su is interested in designing algorithms for learning and optimization problems in online marketplaces, such as pricing, advertising and a/b testing.

Congratulations to Su for winning First Place for the 2022 INFORMS’  George B. Dantzig Dissertation Award ! This award is given for the best dissertation in any area of operations research and the management sciences that is innovative and relevant to practice.

Brennan Antone (wba26@cornell.edu) 

Faculty Mentors:
Connie Yuan, Communication, Global Development, College of Agriculture and Life Sciences
Malte Jung, Information Science, Cornell Bowers College of Computing and Information Science

Brennan is an Assistant Research Professor at the Center for Data Science for Enterprise and Society, with a focus on social network analysis.  Brennan’s work leverages network analytic methods to study interpersonal relationships in teams, organizational communication technology, and network interventions.

Alfredo Torrico (alfredo.torrico@cornell.edu)

Faculty Mentors:
Samitha Samaranayake, Civil and Environmental Engineering, Cornell Engineering
Nikhil Garg, School of Operations Research and Information Engineering, Jacobs Technion-Cornell Institute

Alfredo is an Assistant Research Professor at the Center for Data Science for Enterprise and Society.  His main research interests lie at the intersection of optimization and operations research, with a focus on matching markets, resource allocation and subset selection problems. In particular, he develops algorithmic tools and design optimization models to tackle challenges that appear in applications such as online advertising, student-school allocation, online matching platforms, facility location and data summarization.  Alfredo is also interested in (1) societal challenges that arise in multi-agent and societal systems such as fairness, diversity, and the spread of misinformation; (2) the interactions between optimization and machine learning such as the design of new approaches for submodular optimization

Assistant Research Professorship Committee

Maria Fitzpatrick
Policy and Analysis Management

Samitha Samaranayake
Civil and Environmental Engineering

Yunan Yang
Mathematics

Cristobal Young
Sociology

Joe Guinness,
Statistics and Data Science