Alumina Decomposition Diagnostics
Monitoring and factor explanations for Bayer-process precipitation, combining process chemistry, XGBoost, SHAP, and historical directional rules.
Algorithm Researcher · UniDT
Algorithm research for large language model training.
I am an Algorithm Researcher at UniDT. My work covers pretraining, supervised fine-tuning, reinforcement learning, and evaluation, with additional research in robustness, uncertainty, privacy, and applied statistics.
INDUSTRY
Working Experience
2026–Present
UniDT
Algorithm Researcher
Developing large language models and interpretable diagnostics for industrial processes.
FNova: Compact LLM Training
A 1.7B-parameter model trained through continued pretraining, supervised fine-tuning, reinforcement learning, and on-policy distillation.
SELECTED WORK
Publications & Projects
Divergence-Private Query Release and High-Dimensional Mean Estimation
Learning History-Aware Paraphrase Robustness in LLMs under Epistemic Uncertainty
Private Minimum Hellinger Distance Estimation
Sharp Large Deviations and Gibbs Conditioning for Threshold Models
LLM Agent for Crash Analytics and Adaptive Feature Enrichment
Neyman Pearson Classification for Heart Transplant Rejection
BLOGS
Latest Blogs
CPT and SFT: What Are We Teaching the Model?
How continued pretraining and supervised fine-tuning teach different skills, with fill-in-the-middle, multi-token prediction, and segment-weighted losses.
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On-Policy Distillation Across Model Families
How student-generated rollouts and GOLD enable cross-model teaching, with practical observations on early training instability and recovery.
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GRPO: Learning from a Group of Answers
How group rewards drive policy updates, with clipping, DAPO, GSPO, and practical reward design.
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FiLM: A Simple Way to Let One Input Guide Another
An intuitive introduction to feature-wise conditioning, neural-network integration, and training.
Read PDFPREVIOUS EXPERIENCE
Academic research
Postdoctoral Research FellowGeorge Mason University
EDUCATION
Academic background
PhD in Statistical ScienceGeorge Mason University · 2025
MS in StatisticsRutgers University · 2019
BS in MathematicsShandong University · 2017