Adithya Ganesan is a PhD candidate and visiting researcher at Stony Brook University specializing in computational psychology and language-based models of mental health within the World Well-Being Project. With a decade of experience spanning research software engineering and applied data science, he has delivered probabilistic deep learning solutions in production environments (including Uber AI) and built open-source tooling like contributions to DLATK to make advanced architectures accessible to non-expert researchers. His work bridges interdisciplinary teams of psychologists and computer scientists to translate ecological, day-to-day language into robust population- and individual-level mental health signals. Early research on forecasting non-stationary time series informs his approach to volatile, real-world data and uncertainty-aware modeling. Known for pragmatic engineering—deploying PyTorch probabilistic losses and self-supervised intent prediction pipelines—he combines strong implementation skills with a focus on research impact and tool-building.
10 years of coding experience
4 years of employment as a software developer
High school, Science with Computer Science as elective, High school, Science with Computer Science as elective at DAV Boys Senior Secondary School, Gopalapuram, Chennai
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Sri Sivasubramaniya Nadar College Of Engineering
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stony Brook University
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