About
My goal is to use theory to motivate and develop solutions to statistical problems with reliable guarantees. I am currently interested in:
- Mathematical statistics: empirical process theory, non-parametric methods, and minimax theory.
- Applied analysis: interacting particle systems, optimal transport, and partial differential equations.
- Applications to genetics: network analysis, disease gene discovery, and large-scale hypothesis testing.
I am fortunate to have been mentored by Dr. Jinchuan Xing (Rutgers Genetics), Dr. Min Xu (Rutgers Statistics), and Dr. Matthew Rosenzweig (CMU Math).
Under review
2026
A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels
AISTATS
2027
2027
Estimation of the sub-Gaussian parameter
Genome
Research
Research
Beyond single algorithms: a framework for validating and aggregating active modules in genetic interaction networks
Published
PNAS
2024
2024
Maternal genetic variants in kinesin motor domains prematurely increase egg aneuploidy
Posters
2025
A novel algorithm for active module aggregation based on the Earth Mover's DistanceMABC 2025, Philadelphia · PDF
2025
Systematic assessment of active module identification algorithmsASHG 2025, Boston & MABC 2024, Philadelphia · PDF
2025
LLM world models for efficient exploration in automated theorem proving21st Aresty Undergraduate Research Symposium, Piscataway · PDF
2023
Using PAPER to identify active modules in an aneuploidy datasetMABC 2023, Philadelphia · PDF
2022
Predicting embryonic aneuploidy rate and identifying candidate genes in IVF patients using synonymous variantsMABC 2022, Philadelphia · Trainee Award · PDF
Talks & presentations
2025
Aggregation of active module identification algorithmsResearch in Progress Seminar, Dept. of Genetics, Rutgers
2025
Conformal mappings and the Riemann mapping theoremDirected Reading Program, Dept. of Mathematics, Rutgers · Honorable Mention
2025
Extracting biological insights from gene networksJoint epigenetics group meeting, Dept. of Genetics, Rutgers
2025
Systematic assessment of active module identification algorithmsResearch in Progress Seminar, Dept. of Genetics, Rutgers
2022
Predicting embryonic aneuploidy rate and identifying candidate genes in IVF patients using synonymous variantsLightning Talk, MABC 2022 · Trainee Award
A full list of conference presentations and talks is in my CV.
Teaching & service
'25–'26
Peer InstructorAresty Research Center, Rutgers
2024
Grader, Honors Calculus III (Math 291)Dept. of Mathematics, Rutgers