Yale University
2025–2027 · Expected
MS Computational Biology
& Biomedical Informatics
Research interests.
Select a research interest
Clinical NLP
Understanding clinical language to connect text with meaningful information.
LLM Post-training
Refining language models through instruction, feedback, and adaptation.
Continual Learning
Learning from new experience while retaining prior knowledge.
Federated Learning
Learning collaboratively across decentralized data sources.
Domain Adaptation
Adapting models to the language and context of a new domain.
PEFT / LoRA
Adapting large models through small, targeted parameter updates.
Reinforcement Learning
Learning decisions through interaction and feedback.
Supervised Fine-Tuning (SFT)
Shaping model behavior through curated examples and supervision.
LLM Benchmarking
Examining model capabilities, reliability, and limitations.
Transfer Learning
Carrying useful representations from one task to another.
A foundation
across disciplines.
Georgia State University
& Southwest Jiaotong University
2021–2025
- BS Mathematics (Statistics)
- BS Biological Science
- BEng Bioengineering
About me
A wider
perspective.
My research centers on clinical NLP and machine learning.
I draw on a background in mathematics, computer science, statistics, bioengineering, and biology.