In June 2025, I will start my new role as a Senior Data Scientist at Vertex Pharmaceuticals.
I received my Ph.D. in Statistics from Harvard University, where I was advised by Lucas Janson in the Department of Statistics and Iavor Bojinov in the Harvard Business School. My research focused on developing statistical methods for challenging practical problems in adaptive experimentation, reinforcement learning, and causal inference. I was gratefully supported by the NSF Graduate Research Fellowship. Prior to joining Harvard, I was a Data Scientist at Meta. I received my Bachelor's degree in Statistics from UC Berkeley, where I was awarded the 2019 Departmental Citation as the top graduating student in the statistics program. During my Ph.D., I was a Biostatistics Intern at Moderna working on clinical trial planning, a Research Intern at Zuse Institute Berlin working on combinatorial optimization, and a Statistical Consultant at MDRC working on data-driven policy evaluation.
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
Liang, B., Xu, L., Taneja, A., Tambe, M., Janson, L. (2024)
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. No. 27. 2025.
ArXiv Conference ProceedingsAn Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
Liang, B., Bojinov, I. (2024)
arXivPowerful Partial Conjunction Hypothesis Testing via Conditioning
Liang, B., Zhang, L., Janson, L. (2023)
Biometrika (2025): asaf036.
arXiv JournalVector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology
Wu, S., Sánchez, H., Henry, J., Citron, D., Zhang, Q., Compton, K., Liang, B., et al. (2020)
PLoS Computational Biology, Volume 16(4), e1007446
Journal Article
Email:
biyonka@g.harvard.edu
1 Oxford St, Cambridge, MA 02143
Google Scholar
Github
In my free time, I love to figure skate, cook, and sing. I was fortunate to be a member of the Radcliffe Choral Society from 2020-21 and was an active member of the Harvard Figure Skating Club. I was a part of the amazing team of faculty, students, and staff who helped found Harvard's Data Adventure Day, an event designed to promote statistics and data science to high school student through hands-on activities and interactions, with a focus on supporting diversity and inclusion in these fields.