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Career

· Affiliate Visiting Scientist, Broad Institute of MIT and Harvard (Current)2025–
· Assistant Professor, Thayer School of Engineering at Dartmouth (Current)2025–
· Eric And Wendy Schmidt Postdoctoral Associate, Broad Institute of MIT and Harvard2023–2024
· Applied Scientist Intern, Amazon Web Services (AWS)2022–2023
· Machine Learning Intern, BioDiscovery2017–2017
· Logic Synthesis Intern, IBM Research2016–2016
· Teaching Assistant, Williams College2013–2016

Publications (20)

Source Identification for Mixtures of Product Distributions
Annual Conference Computational Learning Theory · 2020
23
cited
The Sparse Hausdorff Moment Problem, with Application to Topic Models
arXiv.org · 2020
10
cited
Causal Inference Despite Limited Global Confounding via Mixture Models
CLEaR · 2021
8
cited
Identifying Mixtures of Bayesian Network Distributions
arXiv.org · 2021
5
cited
Robust Correction of Sampling Bias Using Cumulative Distribution Functions
2020
5
cited
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts
2023
4
cited
Evaluating The Relationship Between Quran Commands and Marital Satisfaction in Family (Case Study: Families Living in Marand City)
1970
4
cited
Identification of Mixtures of Discrete Product Distributions in Near-Optimal Sample and Time Complexity
Annual Conference Computational Learning Theory · 2023
4
cited
Cancer Classification from Healthy DNA
bioRxiv · 2019
3
cited
Causal Discovery under Latent Class Confounding
2023
3
cited
Glioblastoma signature in the DNA of blood-derived cells
PLoS ONE · 2021
3
cited
Short Tandem Repeats Information in TCGA is Statistically Biased by Amplification
bioRxiv · 2019
3
cited
Synthetic Potential Outcomes and Causal Mixture Identifiability
International Conference on Artificial Intelligence and Statistics · 2024
2
cited
Expert Graphs: Synthesizing New Expertise via Collaboration
2021
1
cited
Meta-Dependence in Conditional Independence Testing
2025
1
cited
Synthesizing New Expertise via Collaboration
2021
1
cited
Cancer Classification from Blood-Derived DNA
2020
Combining Binary Classifiers Leads to Nontransitive Paradoxes
2022
Estimating Aleatoric Uncertainty in the Causal Treatment Effect
2026
Omitted Labels Induce Nontransitive Paradoxes in Causality
2023
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