CURRICULUM VITAE
My CV is available [here]
EDUCATION
- Ph.D. in Biostatistics, School of Public Health, University of Pittsburgh, 2020-2025
- M.S. in Statistics, University of California, Davis, 2018-2020
- B.S. in Mathematics, East China Normal University, 2013-2017
WORK EXPERIENCE
- Graduate Student Researcher, collaborating with PIs Dr. Liza Konnikova at Yale School of Medicine and and Dr. Silvia Liu at School of Medicine, University of Pittsburgh, 2020-2025
- Teaching Fellow, Department of Biostatistics, University of Pittsburgh, 2023-2024
- Statistics Intern, Pfizer, May-Aug 2022
- Statistics Intern, Eli Lilly and Company, May-Aug 2024
TECHNICAL SKILLS
- Programming Language: Proficient in R, bash, Python, LaTex, SQL, SAS, MATLAB and STATA
- Statistical Methodologies: Familiar with various statistical models, Bayesian inference, statistical computation(optimization and sampling computing), AI models including CNN, RNN, Hidden Markov Models, Bayesian Networks, Reinforcement Learning, Recommender Systems, and computer vision such as image processing, feature extraction, segmentation and classification
- Bioinformatics and Genomic Data Analysis: Familliar with DNA-seq, bulk and single-cell RNA-seq, spatial transcriptomics, etc. Hands-on experience in analyzing omics and clinical data with R packages limma, DEseq2, monocle3, Seurat, etc., Python packages scanpy, gseapy, phate, etc., and CellPhoneDB
- Communication and Writing Skills: Strong communication and writing skills from long-term collaborations with non- statistical researchers of various backgrounds
AWARDS
- ASA Pittsburgh Chapter Student of the Year, 2024
- ASA Sections on Computing and Graphics Student Paper Award, 2023
- Excellent Graduate of East China Normal University, 2017
- Scholarship of Academic Excellence, 2016, East China Normal University
- Scholarship of Academic Excellence, 2015, East China Normal University
- University-level First Prize of Daxia Fund Projecrt, 2015, East China Normal University
- Scholarship of Academic Excellence, 2014, East China Normal University
- Second Prize in National Olympic Biology Competition,2012
LEADERSHIP, MENTORING & SERVICES
- Mentored three junior Ph.D. students in biostatistics, University of Pittsburgh, 2023-2024
- Mentored a summer undergraduate student in computer science, University of Rochester, 2022
- Pittsburgh ASA Student Chapter Excecutive Committee, University of Pittsburgh, 2021-2023
- Organized Internship Panel, Pittsburgh ASA Student Chapter, University of Pittsburgh, 2021
- Computing server manager for Tseng’s lab: maintained lab computing servers and managed lab allocation on Center For Research Computing, University of Pittsburgh, 2020-2024
CERTIFICATES
- SAS Certified Specialist: Base Programming, 2022
- American Society of Actuaries: Financial Mathematics Course, 2017
- American Society of Actuaries: Probability Course, 2017
SELECTED COURSEWORK
- Biosatistics Coursework: Survival Analysis, Applied Mixed Models Analysis, Longitudinal and Clustered Data Analysis, Omics Data Analysis
- Public Health Coursework: Epidemiology, Molecular Basis of Human Inherited Deseases, Essential of Public Health
- Machine Learning Coursework: Advanced Deep Learning, Introduction to Machine Learning, Statistical Learning
- Advanced Satistics Coursework: Advanced Applied Multivariate Analysis, Computational Statistics, Numerical Analysis, Analysis of Categorical Data, Stochastic Processes, Time-Series Analysis
- Advanced Mathematics Coursework: Abstract Algebra, Real Analysis, Functional Analysis,Topology, Number Theory, Complex Analysis, Combinatorial Mathematics