Rithika

Gorrepati

I’m Rithika Gorrepati, a Master's student in Bioinformatics at Georgia Tech and a Graduate Research Assistant in the Fernandez Lab. My current research focuses on using machine learning to predict collision cross section (CCS) values from ion mobility–mass spectrometry data. I work on building adduct-specific models using molecular descriptors and support vector regression, with the goal of improving the accuracy and interpretability of metabolomic analysis.

Before joining Georgia Tech, I gained interdisciplinary experience across India’s healthcare and innovation sectors. I contributed to technically grounded projects at Dr. Reddy’s and Laurus Labs, including work on active pharmaceutical ingredients (APIs) and infectious diseases. I also worked with T-Hub (The World’s Largest Innovation Campus) and T-Works (India’s Largest Prototyping Center), where I helped foster startup partnerships and supported tech-driven growth initiatives.

My broader interests lie in applying AI and machine learning to multi-omics data for predictive and prognostic modeling in precision medicine. I’m particularly passionate about building reproducible pipelines that bridge computational biology and clinical informatics to enable biomarker discovery and real world decision making in healthcare.

Research lab profile: Fernandez Lab 

Connect with me on : LinkedIn