
Postdoctoral research scientist at Columbia University, advised by Prof. Elias Bareinboim.
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Columbia University
Data Scientist
June 30, 2026 – Present
Fine-Grained-Causal-RL
May 11, 2024 – June 5, 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning (ICML 2024)
View ProjectNCD
May 10, 2024 – May 12, 2024
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition (CLeaR 2023)
View ProjectLearningBySketching
April 14, 2023 – December 13, 2024
[CVPR 2023] Learning Geometry-aware Representations by Sketching
View ProjectSelecMix
January 30, 2023 – June 5, 2024
SelecMix: Debiased Learning by Contradicting-pair Sampling (NeurIPS 2022)
View ProjectCultural Fit Analysis
The candidate's project history is exclusively academic research, indicating a strong focus on theoretical and experimental work. While this aligns with a research-heavy Data Scientist role, the lack of diverse project types (e.g., industry applications, team-based product development) limits the assessment of broader cultural fit for a typical industry setting. The candidate is currently listed as a Data Scientist at Columbia University, which aligns with the target role, but the 'experienceLevel' is 0, suggesting this might be a very recent or upcoming role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily academic research, and no psychometric or English test results are available.