CV

Graduate Researcher

Weill Cornell Medical College

Engineering foundation models for predictive embryology in IVF procedures and conducting research on data heterogeneity in federated learning.

• Engineered foundation models for predictive embryology in IVF procedures.
• Developed structural variant detection methods for short-read cancer data.
• Conducted research on data heterogeneity in federated learning and other ML applications.

Data Scientist Intern

Regeneron

Reduced text processing time by 95% using NLP and LLMs.

• Implemented analytics and data visualization tools to transform data into actionable insights.

Bioinformatics Researcher

Wake Forest School of Medicine

• Performed privacy-preserving methods through holographic transformations.
• Developed models to predict immunotherapy-related adverse events.
• Preprocessed and cleaned large datasets for NLP pipelines.

R&D Bioinformatics Intern

Colgate-Palmolive

• Developed NLP pipelines for veterinary note standardization and search.
• Constructed an LSTM model for early renal disease prediction.

Ph.D.

Weill Cornell Medical College

Computational Biology

• Tri-Institutional PhD Program in Computational Biology.
• Co-mentored by Dr. Fei Wang and Dr. Iman Hajirasouliha.

B.S.

Georgia Institute of Technology

Biomedical Engineering

• GPA 3.96/4.0.
• Minor in Computing and Intelligence.
• President’s Undergraduate Research Award (PURA) Fellow.

Graduate Research Fellowship (GRFP)

National Science Foundation

Supporting doctoral research in computational biology.

BEAMS Challenge Winner

NIH

Awarded for innovative outreach initiatives.

1st Place - Detecting Emerging Threats Challenge

CDC & NASA

President’s Undergraduate Research Award (PURA)

Georgia Institute of Technology