Summary
Mojtaba Haghighatlari is a Senior Machine Learning Scientist with 11 years of experience applying data mining and ML to computational chemistry, materials informatics, and (bio)chemical problems, currently at Pfizer. He has driven method development for virtual high-throughput screening, modeled optical and electronic properties of materials, and advanced NMR and structural prediction for proteins using novel ML architectures. With a PhD in Chemical Engineering and a strong software development background, he has built Python libraries, end-to-end tooling, and automated test suites used in academic and industrial projects. His postdoctoral work at UC Berkeley produced physics-inspired networks (e.g., NewtonNet) and practical ML solutions for drug scoring and disordered protein structure determination. Comfortable at the intersection of theory-guided data science and production-ready software, he routinely combines domain knowledge (e.g., Lorentz-Lorenz integration) with ML techniques like active and transfer learning to squeeze signal from small or imbalanced datasets.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at University at Buffalo
Bachelor of Science (BSc), Chemical Engineering, Bachelor of Science (BSc), Chemical Engineering at Sharif University of Technology
English, Persian