Prateek Gundannavar is a Senior Machine Learning Engineer with nine years of experience applying mathematical modeling, statistical signal processing, and data science to biological and engineering problems at Calico Life Sciences. He holds a Ph.D. in Electrical Engineering from Washington University in St. Louis and has a strong research background in sparsity-assisted denoising, time-series pattern recognition, and gait analysis for Parkinson’s disease. At Calico he partners cross-functionally with researchers and engineers to translate analytical methods into collaborative research projects that span biology and computation. Earlier roles include leading model-based engineering efforts at Rockwell Collins and sensor-driven navigation and classification projects at IISc, reflecting a practical bent for applied signal processing. Known for blending rigorous academic training with production-focused solutions, he brings both hands-on algorithm development and interdisciplinary collaboration to complex inference problems.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Washington University in St. Louis
B.Tech, Electronics and Communication, B.Tech, Electronics and Communication at International Institute of Information Technology
Sparsity-assisted wavelet denoising for gait cycle validation and segmentation using inertial sensors.
Contributions:10 commits, 2 PRs, 3 pushes in 1 year 6 months
segmentationwaveletgaitsensorsvalidation
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