Welcome to my homepage!
I’m Ani, a 3rd year PhD student in the Department of Statistics and Operations Research at The University of North Carolina at Chapel Hill. I am fortunate to be advised by Prof. Patrick Lopatto and Prof. Michael Kosorok. My research interests include precision medicine, causal inference, and adaptive policy learning.
I completed my Master of Statistics (M.Stat.) from Indian Statistical Institute, Kolkata, India and my undergraduate in Mathematics and Computer Science from Chennai Mathematical Institute, Chennai, India. My full CV is here.
📢 Open to Opportunities: I’m actively seeking internship opportunities and research collaborations involving statistical modeling, policy learning, or causal inference. I would love to get in touch!
Email ID: aniruddhan_ganesaraman [at] unc [dot] edu, aniruddh.math [at] gmail [dot] com.
Recent News
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10 Aug 2026 - Submitted Heterogeneous Causal Effects of Social Determinants of Health on Cardiovascular Health Across Sociodemographic Characteristics, joint work with Andong Wang, Rachel M. Vaughn, Safoora Masoumi, and Iheoma U. Iruka, to American Journal of Public Health.
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08 Aug 2026 - Discussion paper “Discussion of Hypothesis Testing for Treatment Effect Heterogeneity via an Adaptively Augmented Debiased Estimator” accepted for publication in ASA Discoveries, joint work with Annika Clevens, Xinyi Li, Margaret Hoch, Keshav Saxena, Matthew Egberg, Bryce Rowland, and Michael R. Kosorok.
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07 Aug 2026 - Paper accepted for poster presentation at YinzOR 2026: Proactive Inpatient Bed Requests for Emergency Department Admissions with Qian Cheng, Nilay Tanik Argon, and Serhan Ziya.
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14 Jul 2026 — Paper accepted for presentation at the 2026 INFORMS Simulation Society Research Workshop: Proactive Inpatient Bed Requests for Emergency Department Admissions with Qian Cheng, Nilay Tanik Argon, and Serhan Ziya.
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13 Jul 2026 — Submitted Proactive Inpatient Bed Requests for Emergency Department Admissions, joint work with Qian Cheng, Nilay Tanik Argon, and Serhan Ziya, to Manufacturing & Service Operations Management; preprint on arXiv.
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27 Jun 2026 — Submitted Data Driven Block Replacement Scheduling, joint work with Vidyadhar Kulkarni, to Operations Research; preprint on arXiv.
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02 Jun 2026 — Paper accepted for presentation at the American Public Health Association 2026 Annual Meeting (San Antonio, Texas, Nov 01 – 04): Machine Learning-Based Heterogeneous Causal Effects of SDOH on Cardiovascular Health Across Sociodemographic Characteristics with Iheoma Iruka, Safoora Masoumi, Rachel Vaughn, and Anthony Wang.
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13 May 2026 — Awarded Honorable Mention in the Tom Ten Have poster competition at the American Causal Inference Conference (ACIC) 2026 (Salt Lake City, Utah, May 11 – 14): Estimation of a Common Local Average Treatment Effect with Multiple Instruments with Patrick Lopatto and P. M. Aronow.
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10 Apr 2026 — Paper accepted for presentation at the 2026 INFORMS Healthcare Conference (Raleigh, NC, Jul 28 – 30): A Decision Framework for Early Inpatient Bed Requests in Emergency Departments with Qian Cheng, Nilay Tanik Argon, and Serhan Ziya.
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10 Apr 2026 — Invited to speak at the INFORMS Annual Meeting (San Francisco, CA, Nov 01 – 04) in the MSOM Service Operations session honoring Prof. Vidyadhar Kulkarni’s retirement, presenting Data Driven Block Replacement Scheduling with Vidyadhar Kulkarni.
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02 Apr 2026 — Latebreaker poster accepted at the American Causal Inference Conference (Salt Lake City, UT, May 11 – 14): Estimation of a Common Local Average Treatment Effect with Multiple Instruments with Patrick Lopatto and P. M. Aronow.
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24 Mar 2026 — Successfully defended my master’s thesis: Data Driven Block Replacement Scheduling (advised by Prof. Vidyadhar Kulkarni).
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07 Mar 2026 — Awarded Best Methodological Rigor in the CAIPH Datathon 2026 held from Mar 06 – 07, 2026. [Certificate] [Slides]
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04 Dec 2025 — Recipient of the Dr. Xin Ge Graduate Student Excellence Award, recognizing the best-performing first-year PhD student in the department (see page 15 of the department newsletter).
A relic from my pre-UNC days: my old Google Sites page has a more detailed account of my time at CMI and ISI.