Calvin Wang is a Senior Data Scientist based in San Francisco with 11 years of experience bridging data science and mechanical engineering in automotive and energy applications. He currently drives data-driven diagnostics and prognostics at Tesla, building scalable ML solutions for vehicle systems informed by prior work creating HPC-capable diagnostic software at General Motors. His background combines hands-on mechanical design and testing with advanced modeling—MATLAB/Simulink prognostics, SQL-based ETL, and Python ML pipelines—enabling pragmatic production-ready deployments. Calvin’s early research on combined-motor architectures and FPGA sensor integration reflects a comfort with hardware-software co-design and real-time constraints. He holds engineering degrees from Shanghai Jiao Tong and the University of Michigan (M.S. 3.8/4.0), and is known for translating complex physical-system behavior into robust analytical models. Notably, he pairs deep domain knowledge of vehicle thermal and powertrain systems with experience scaling models for large datasets in high-performance environments.
11 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Mechanical Engineering, Bachelor's Degree, Mechanical Engineering at University of Michigan
Bachelor's Degree, Electrical and Computer Engineering, Bachelor's Degree, Electrical and Computer Engineering at Shanghai Jiao Tong University
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