Curriculum Vitae

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Education

New York University — Center for Data Science
M.S. in Data Science (MSDS)
Sep 2025 – May 2027 (Expected)
Focus: machine learning and data-centric systems.
New York University — College of Arts & Science
B.A., Joint Major in Data Science & Computer Science; Minor in Business Studies
Sep 2021 – May 2025
Dean’s List; Founder’s Day Award.

Professional Experience

Qihoo 360
Data Analyst Intern
Dates / Location
  • Collaborated with faculty to design an end-to-end AI/ML course pipeline (curriculum, datasets, capstone project, auto-grading), reducing instructor setup time by ~30% and enabling 100% grading uptime during pilot.
  • Benchmarked and optimized a GPU-backed Jupyter/LLM environment (scikit-learn, XGBoost), creating pre-launch checklists and resource guidelines to ensure stable performance.

Research Experience

NYU Langone — CN³ Lab
Research Assistant
May 2024 – May 2025
  • Adapted Neural Data Transformer-2 (NDT-2) and Pi-VAE to decode ~330 CA1/VISp neurons to movie frames, reducing MAE by 12% (CA1) / 23% (VISp) vs. spline tuning curves.
  • Pre‑processed and aligned 54k spike events with 1,800 s video stimuli; implemented Bayesian Monte Carlo decoder and 10‑fold CV to confirm robustness.
NYU CDS — Kyunghyun Cho’s group
Undergraduate Researcher
Sep 2024 – May 2025
  • Built a unified Python library extending TM-Vec for protein homology, streamlining data pipelines, training, and benchmarking across 380K sequences; fine-tuned 1.2 B-parameter protein LLMs on NYU Greene HPC, reducing MAE by ~9× (to 0.003).
  • Visualized 2048‑D embeddings with PCA and t‑SNE, revealing distinct alpha, beta, alpha/beta clusters.

Certificates