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Lida Wang

汪立达

Ph.D. Candidate
Penn State University

Hershey, PA, 17033

lida.wang.96@gmail.com


Bio

I recently defended my Ph.D. in Biostatistics at Penn State University, where I work under the mentorship of Prof. Dajiang Liu. My research is centered on statistical genetics, functional genomics, and data science.

In the summer of 2023, I gained valuable experience as a Research Data Scientist Intern at Calico, a subsidiary of Alphabet, where I worked with Dr. Madeleine Cule and her team.

Before starting my Ph.D. program, I earned a master’s degree in Biostatistics from Georgetown University, where I was advised by Prof. Ao Yuan and Ming Tan. I got my bachelor’s degree in Mathematics and Applied Mathematics from the Southern University of Science and Technology, where I was mentored by Prof. Guoliang Tian.

Research Interests

Projects

  1. Cell Genomics
    JOint analysis of Bulk-eQTL and Sc-eQTL (JOBS)
    Lida Wang, Havell Markus, Dajiang Liu, 2022-2024.
    *ASHG 2023 Featured Plenary Talk
    *ASHG 2023 Predoctoral Trainee Research Excellence Finalist
    *ACGA Predoctoral Trainee Awardee for Basic Research
  2. Nature Communications
    EXpression PREdiction with Summary Statistics Only (EXPRESSO)
    Lida Wang, Chachrit Khunsriraksakul, Dajiang Liu, 2020-2023
    *STATGEN 2024 Invited Talk
    *ASHG 2022 poster presentation
  3. Internship
    Genetic Analysis of Image-Derived Phenotypes in Kidney Substructures
    Lida Wang, , Madeleine Cule, Ramprakash Srinivasan, Kevin Wright, Elena Sorokin, Anil Raj, Jimmy Bell, 2023.
  4. Nature Communications
    Prediction Using Models Informed by Chromatin conformations and Epigenomics (PUMICE)
    Chachrit Khunsriraksakul, Lida Wang, Dajiang Liu, 2020-2022
    *ASHG 2020 Reviewer’s choice abstract
    *PQG 2020 conference honorable mention
  5. Statistics in Medicine
    Set-regression with applications to subgroup analysis
    Ao Yuan, Lida Wang, Min Tan, 2019-2021

Selected Publication

Awards and honors

Resources

Invited Talks

A single cell eQTL atlas for cell type specific regulatory effectss.

Dissecting systemic lupus erythematosus associated genetic loci at single cell resolution

Genetic analysis of image-derived phenotype in kidney substructures

Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes

Contact

Address: 90 Hope Dr, Hershey, PA 17033
Email: lida.wang.96 (at) gmail.com