CV
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Education
- Ph.D. in Statistics, Northwestern University, 2024-2029
- M.S. in Computer Science, Northwestern University, 2022-2024
- B.S. in Data Analytics, The Ohio State University, 2018-2022
Research Areas
- Multimodal and video-language model evaluation: sparse video understanding, reasoning-error localization, SFT/LoRA fine-tuning, physical plausibility, motion understanding, and 4D modeling.
- Benchmark systems: dataset and metric design, simulation-based evaluation, failure-mode analysis, model-selection infrastructure, Slurm-scale execution, and ablation reporting.
- Core ML methods: BiSHop, sparse modern Hopfield models, tabular learning, feature programming, time-series forecasting, distributed hyperparameter search, and reinforcement learning.
- AI for science: antibody design, accelerator controls, beam-loss deblending, biomedical segmentation, and scientific-control workflows.
Selected Publications
- Towards Sparse Video Understanding and Reasoning, CVPR 2026.
- AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning, ICML 2026.
- Let’s Try Again: Eliciting Multi-Turn Reasoning in Language Models via Simplistic Feedback, ICML AI for Math Workshop 2025.
- BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model, ICML 2024.
Academic Service and Conference Roles
- Area Chair: ICLR 2026 Workshop ES-Reasoning; CVPR 2026 Workshop MMRAgI.
- Conference Reviewer: NeurIPS 2024, NeurIPS 2025, NeurIPS 2026; ICLR 2026; ICML 2025; AISTATS 2025, AISTATS 2026; COLM 2025, COLM 2026; CVPR 2026.
- Track and Workshop Reviewer: ICML 2026 Position Paper Track; NeurIPS 2025 Datasets and Benchmarks Track; NeurIPS 2025 MTI-LLM Workshop; NeurIPS 2025 Math-AI Workshop.
Honors
- ASA DataFest Finalist; SAE AI Mini-Challenge 2nd Prize; Veeam Software Endowed Scholarship.
