
Postdoc at CMU Machine Learning Department. Formerly PhD student at MIT. Causality, representation learning, drug discovery, and more.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
6.S091-causality-2024
January 8, 2024 – November 12, 2024
6.S091-causality-2024 — GitHub repository
View Project6.S091-causality
December 12, 2022 – February 7, 2023
6.S091-causality — GitHub repository
View Projectlinear-causal-disentanglement-via-interventions
November 29, 2022 – February 28, 2024
linear-causal-disentanglement-via-interventions — GitHub repository
View Projectmulti-domain-crl
October 24, 2022 – May 2, 2024
Code for the paper "Unpaired Multi-Domain Causal Representation Learning", published at NeurIPS 2023.
View Projectcausal-rep-learning-reading-group
November 19, 2021 – November 11, 2023
causal-rep-learning-reading-group — GitHub repository
View Projectcausaldag_examples
April 4, 2019 – December 13, 2022
Example usage of https://github.com/uhlerlab/causaldag
View Projectcausaldag
July 28, 2018 – April 12, 2023
Python package for the creation, manipulation, and learning of Causal DAGs
View Projectdci
May 24, 2018 – December 21, 2018
Code and figures for the Differential Causal Inference (DCI) algorithm
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on academic/research-oriented causal inference, which indicates a strong passion for a specific domain within data science. While this depth is valuable, the lack of diversity in project types (e.g., business applications, large-scale data engineering, MLOps) might suggest a narrower scope of experience for broader data scientist roles. The absence of team projects or collaborative descriptions makes it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.