CS PhD student at Cornell Tech | Former Senior Data and Applied Scientist at Microsoft Research | Causal Inference and Machine Learning Researcher
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Assessing your cultural and operational fit
Cornell Tech
Data Scientist
June 25, 2026 – Present
Spatial-Deconfounder
June 2, 2025 – Present
GitHub repository for spatial causal inference research.
View ProjectAdaptive-IV
May 22, 2025 – October 26, 2025
Efficient Adaptive Experimentation with Non-Compliance
View ProjectGSTUNet
January 30, 2025 – May 13, 2025
GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders
View ProjectWeak-Instruments-Obs-Data-CATE
June 10, 2024 – November 4, 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
View ProjectCDTE
May 18, 2022 – February 23, 2023
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic research and causal inference, which aligns well with a research-heavy Data Scientist role. However, the lack of diverse project types (e.g., product-focused, industry applications) and team-based work makes it difficult to fully assess cultural fit for a broader organizational context. The single listed experience at Cornell Tech as a Data Scientist, while relevant, lacks details to evaluate broader cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily research-focused, indicating a potential for independent work and problem-solving, but team collaboration and communication skills are not evident from the provided information.