Summary
Lin Zheng is a Senior Data Scientist with 11 years of experience applying advanced statistical modeling, deep learning, and signal processing to energy and geoscience problems. With a PhD in Geophysics from Rice University and a strong math/physics background, Lin has built scalable pipelines and full-waveform inversion algorithms to inform multi-billion-dollar drilling decisions and now drives ML for electric load forecasting and energy optimization. Proficient in Python, TensorFlow, PyTorch, SQL, Matlab and C++, Lin combines hands-on engineering on HPC/GPU systems with project leadership and team coaching across on-prem and hybrid-cloud environments. He excels at turning noisy, multi-terabyte time-series and seismic data into actionable forecasts using GBMs, neural nets, SVMs and advanced time-series techniques. Notably, his career bridges academic computational modeling and commercial deployment, giving him rare domain fluency in both subsurface geophysics and utility-scale ML. Based in Wuhan with global industry experience, Lin is equally comfortable publishing research, mentoring teams, and shipping production models that impact operations and investment decisions.
10 years of coding experience
10 years of employment as a software developer
Ph.D. Earth Sciences/Geosciences, Ph.D. Earth Sciences/Geosciences at Rice University
Bachelor Economics, Bachelor Economics at Peking University
Master Acoustics, Master Acoustics at Chinese Academy of Sciences
Bachelor Engineering, Bachelor Engineering at Tsinghua University