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25 changes: 15 additions & 10 deletions _members/kaushik-ganapathy.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,17 +3,22 @@ name: Kaushik Ganapathy
image: images/kaushik.jfif
role: phd
group: cwu-lab
aliases:
links:
linkedin: kaushik-ram-ganapathy
github:
orcid:
google-scholar:
twitter:
facebook:
instagram:
youtube:

github: Krganapa
orcid: 0000-0002-2439-9373
google-scholar: Tji0LIwAAAAJ
twitter: krganapa
---
Hi, I’m Kaushik, a 4th-year Ph.D. student in Bioinformatics co-advised by Profs. Chunlei Wu and Ali Torkamani. My thesis project focuses on developing data-driven statistical approaches to unravel population-wide gene expression patterns, with a particular emphasis on allele-specific expression (ASE). By studying how ASE impacts health and disease, I aim to create tools with clinical diagnostic applications to especially rare disease cases.

Before grad school, I earned my bachelor’s degree from UC San Diego, where I contributed to several research projects. I helped develop machine learning systems for QM/MM simulations in molecular modeling with Prof. Francesco Paesani. I also worked with Dr. Peter Rose to build knowledge graphs for COVID-19, supporting data integration efforts. For my bachelor thesis, I was supervised by Prof. Ilya Zaslavsky and co-created GeoACT, a spatial agent-based COVID-19 transmission model that eventually received the HPCwire Readers’ Choice Award for its impact in helping schools reopen amid the pandemic.

Apart from research, I am deeply passionate about music, reading, and watching old (1930s-1960s) movies. I am also a largely self-taught pianist having qasi-perfect pitch.

{% include section.html %}
### Education
B.S. - Data Science, Halicioglu Data Science Institute, UC San Diego

Kaushik is a graduate student in the Wu Lab. His research focuses on developing statistical models to help advance allele-specific expression analysis.
{% include section.html %}
{% include list.html data="citations" component="citation" filters="kaushik-ganapathy-list: true" %}