Current members
Duygu Ucar, PhD

Duygu.Ucar[at]jax.org

Associate Professor

PhD: Ohio State University, Computer Science 

Postdoctoral Studies:  University of Iowa, Internal Medicine , Stanford University, Genetics 

I am a computer scientist with interdisciplinary training in computer science, epigenomics, and the biology of aging. The overarching goal of my lab is to build integrative and innovative computational resources to uncover intricate regulatory programs in human cells and understand how these programs are disrupted by aging and aging-related diseases.

 

 

Asa Thibodeau, PhD

Asa.Thibodeau[at]jax.org

Postdoctoral Associate

PhDUniversity of Connecticut, Computer Science

Postdoctoral Studies: University of Connecticut

Asa is developing machine learning models including deep learning methods to integrate and infer regulatory function of genomic and epigenomics data to uncover regulatory functions of noncoding regulatory regions and their gene targets. 

 

Neerja Katiyar
Neerja.Katiyar[at]jax.org

Bioinformatician

M.S. George Mason University, Fairfax, VA

Neerja is analyzing chromatin interaction datasets from human cells and integrating these datasets with other genomic profiles and GWAS variants for complex diseases. 

Shubham Khetan

Shubham.Khetan[at]jax.org

PhD candidate, Biomedical Sciences (co-advised by Prof. Stitzel)

University of Connecticut Health Center

Shubham is studying how genetic variation in the population can lead to increased/decreased susceptibility to type 2 diabetes using QTL analyses and MPRA assays to quantify regulatory element activity. 

 

Alper Eroglu
Alper.Eroglu[at]jax.org

Research Assistant 

B.S. Bilkent University, Turkey, Computer Science

Alper is developing computational tools to better annotate clusters from scATAC-seq datasets and to uncover potential doublet/multiplet cells. 

Onur Karakaslar
Onur.Karakaslar[at]jax.org

Research Assistant 

B.S. Bilkent University, Turkey, Computer Science

Onus is analyzing epigenomic and transcriptomic datasets generated from diverse mouse tissues from different strains to uncover the genomic signatures of aging in mice and compare it to data from human. 

Administrative assistant
  • Jessica Ricci (Jess.Ricci[at]jax.org)