Publications

• Saatvik Kher*, Johanna Hardin. Measuring the Impact of Missingness in Traffic Stop Data. Harvard Data Science Review. 01/2026. Repository

• Rachel Longjohn, Shang Wu, Saatvik Kher, Catarina Belém, Padhraic Smyth. Bayesian Evaluation of Large Language Model Behavior. NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle.

• Jennifer Wyatt Bourgeois, Anna Haensch, Saatvik Kher, Dean Knox, Gregory Lanzalotto, Tian An Wong. How to Use Causal Inference to Study Use of Force. CHANCE, 37(4), 6–10.

• Kammarauche Aneni, Ching-Hua Chen, Gaoqianxue Liu, Saatvik Kher, Lynn Fiellin. A Machine Learning Model for Predicting Unhealthy Substance Use Among Adolescents. Machine Learning for Healthcare Conference Abstract, NY, August 2023.

• Kammarauche Aneni, Ching-Hua Chen, Jenny Meyer, Youngsun T. Cho, Zachary Chase Lipton, Saatvik Kher, Megan G. Jiao, Isabella Gomati de la Vega, Feza Umutoni, Robert A. McDougal, Lynn E. Fiellin. Identifying Game-Based Digital Biomarkers of Cognitive Risk for Adolescent Substance Misuse: Protocol for a Proof-of-Concept Study. JMIR Res Protoc. 11/2023.

MANUSCRIPTS (IN PREPARATION)

• Saatvik Kher*, Hyungrok Do, Judy Zhong, Padhraic Smyth. Bayesian Online Selection of Fair Classifiers. (under review).

• Divij Jain, Saatvik Kher*, Lena Liang, Yufeng Wu, Ashley Zheng, Xizhen Cai, Anna Plantinga, Elizabeth Upton. Improving and Evaluating Machine Learning Methods for Forensic Shoeprint Matching. (under review). Repository