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Postdoc in CSD at Carnegie Mellon University.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
antidistillation-sampling
June 11, 2025 – Present
antidistillation-sampling — GitHub repository
View Projectopen-unlearning
January 10, 2024 – Present
[NeurIPS D&B '25] The one-stop repository for LLM unlearning
View ProjectBinoculars
December 10, 2023 – May 14, 2024
[ICML 2024] Binoculars: Zero-Shot Detection of LLM-Generated Text
View Projecttabular-transfer-learning
June 30, 2022 – February 15, 2023
A repo for transfer learning with deep tabular models
View Projectdeep-thinking
October 18, 2021 – August 9, 2023
A centralized place for deep thinking code and experiments
View Projectsaint
June 7, 2021 – December 6, 2021
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
View Projecteasy-to-hard
June 7, 2021 – March 1, 2022
Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
View Projectpoisoning-benchmark
June 22, 2020 – October 4, 2023
A unified benchmark problem for data poisoning attacks
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, focusing on cutting-edge ML topics. This indicates a strong fit for roles requiring innovation and deep technical exploration. However, the lack of team-based or industry-specific projects makes it difficult to assess collaboration or business-oriented cultural fit. The projects are highly aligned with a Data Scientist role, particularly one with a research or advanced ML focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.