Summary
Athul Dharmarajan is a Purdue PhD candidate and teaching assistant in Mechanical Engineering who blends computational modeling, probabilistic methods, and design research to study how humans and algorithms interact during the engineering design process. With prior BTech and MTech training from IIT Bombay, his work spans multi-agent systems for disaster management, image-based cellular analysis, and scientific machine learning applied to physical phenomena and uncertainty quantification. At Purdue’s Design Engineering Lab he contributes to solver-aware system architecting and trusted-AI systems, and he’s increasingly focused on generative AI techniques that propose feasible, constraint-satisfying designs. He brings eight years of hands-on research and teaching experience, pairing rigorous Bayesian and probabilistic modeling skills with practical concerns of manufacturability and decision-making under uncertainty. An often-overlooked strength is his cross-domain fluency—from membrane biophysics image processing to system-level design—enabling uncommon connections between data-driven models and physical engineering constraints.
8 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Bombay
Class 12, CBSE, 96%, A1 in all 5 subjects, Class 12, CBSE, 96%, A1 in all 5 subjects at Saraswathi Vidyaniketan Public School, Elamakkara
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Purdue University
Class 10, CBSE, CGPA 10.0/10.0, Class 10, CBSE, CGPA 10.0/10.0 at Bharatiya Vidya Bhavan's School Kanjani
English, Hindi, Malayalam