Summary
Milan Jain is a Senior Data Scientist at Pacific Northwest National Laboratory with 11 years of experience building human-centric ML/AI systems that bridge sensor networks, control theory, and real-world energy applications. He holds a PhD in Computer Science and has driven research and deployments—from low-cost smart thermostats for residential ACs to occupancy-driven control frameworks for commercial buildings—combining strong field experiments with scalable modeling. Milan’s work spans Python, TensorFlow/PyTorch, and HPC, and he publishes regularly in control and energy venues while contributing to cross-disciplinary collaborations at MIT, IBM, Waterloo, and PNNL. Notably, his research balances energy efficiency with human comfort, producing explainable models and open tools (e.g., ThermalSim) that quantify the impact of prediction errors on HVAC performance. Based in Richland, WA, he uniquely pairs academic rigor with hands-on sensor-network deployments to translate AI research into measurable sustainability outcomes.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Information Technology, 8.56, Bachelor of Technology (B.Tech.), Information Technology, 8.56 at National Institute of Technology , Patna
Kendriya Vidyalaya Sangathan
Master's Degree, Computer Science, 8.76, Master's Degree, Computer Science, 8.76 at Indraprastha Institute of Information Technology Delhi
Matriculation (Xth), English, Physics, Chemistry, Mathematics, Information Practices, 91.4%, Matriculation (Xth), English, Physics, Chemistry, Mathematics, Information Practices, 91.4% at Kendriya Vidyalaya Karnal, Haryana