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I have found great satisfaction in mentoring graduate students on a range of integrative genomic projects. This experience has been enlightening, as it has led me to recognize my mentorship philosophy. I believe in leading by example, adapting to diverse perspectives and working styles, and ensuring that my mentees remain motivated throughout their journey.

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Working with my advisor and mentor, Dr. Greg Gibson, has been one of the most fulfilling aspects of my academic journey. His mentorship deeply influenced my scientific thinking and growth as an independent researcher, and has reinforced my belief in the value of good mentorship.

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I value strong work ethics and encourage consistency, proactiveness, and self-driven effort in research. A willingness to dig deeper into a problem often leads to meaningful progress. Regardless of the outcome, the process itself fosters growth and leaves researchers with lasting insights.

Mentorship

Genetics & Environment

  • Aariz Jivani (BS Biology, Georgia Tech, Atlanta, USA, 2026): The impact of indirect genetic effects on the polygenic risk of diseases. 

  • Mia Denning (MS Bioinformatics, Georgia Tech, Atlanta, USA, 2024-2025): Polygenic risk score by environmental interactions in the All of US cohort. 

  • Emily Hang (MS Bioinformatics, Georgia Tech, Atlanta, USA, 2022-2023): Studying the effect of genetics on the expression of facial emotions and homophily. 

  • Kristine Lacek (MS Bioinformatics, Georgia Tech, Atlanta, USA, 2020): Polygenic risk score by environmental interactions for inflammatory bowel disease in the UK Biobank cohort.

  • Jeremiah Longino (South Atlanta High School, Atlanta, USA, 2021-2022): Predictive Health Genomics of inflammatory bowel disease. 

    • Project ENGAGES Mentorship: Jeremiah won an award at the district level science fair. ​

Genetics & Ancestry

  • Suraksha Vinod (MS Bioinformatics, Georgia Tech, Atlanta, USA, 2023-2024): Influence of admixture on the polygenic risk assessment of disease.

Integrative Genomics: Genetics and Transcriptomics (bulk RNA)

  • Erin Yoon (BS Neuroscience, Georgia Tech, Atlanta, USA, 2026): The evolution of eQTL architecture under linkage disequilibrium. 

    • Petit Scholar Mentorship.​

  • Zheying Xu (BS Bioinformatics, Georgia Tech, Atlanta, USA, 2022): Canalization of polygenic risk of common diseases and traits in the UK Biobank using predicted polygenic transcriptional risk score. â€‹

  • Vidisha Goyal (MS Biomedical Engineering, 2020): Spatial Transcriptomics.

Integrative Genomics: Genetics and Single Cell Transcriptomics (single cell RNA)

  • Kate Xie (MS Bioinformatics, 2022-2023): Development of cell type specific predicted polygenic transcriptional risk score to predict disease progression in autoimmune diseases. 

  • Jared Collins (BS-MS Biology, 2022-2023): Coherence vs incoherence of disease risk using integrative genomic approach of integrating single cell data with GWAS. 

    • Jared successfully defended MS thesis on this project.​

Teaching

Bruce Weir Summer Institute in Statistical Genetics (SISG)

Introduction to R and Python (2024, 2025, 2026): https://sisg.biosciences.gatech.edu/

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