Summary
Piyush Karande is a Group Leader in Generative Protein Design at Lawrence Livermore National Laboratory with 14 years of experience applying deep learning to de-novo antibody design, protein structure representation, and related scientific domains. He holds a Ph.D. in Biomedical Engineering from Washington University in St. Louis, where he developed real-time, co-adaptive machine learning algorithms and signal-processing pipelines for minimally invasive brain-computer interfaces. Known for mentoring postdocs and graduate students, Piyush bridges multidisciplinary teams to turn cutting-edge ML research into production-ready computational pipelines. His background spans high-energy physics and facial expression analysis, and he couples hands-on algorithm design (C++, DSP, FPGA experience) with scalable ML for biology. Based in the San Francisco Bay Area, he brings a rare mix of neural-signal expertise and generative protein modeling to accelerate translational science.
14 years of coding experience
7 years of employment as a software developer
Nanodegree, Self Driving Car Engineer, Nanodegree, Self Driving Car Engineer at Udacity
Bachelor of Engineering - BE, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electronics and Communications Engineering at Birla Institute of Technology, Mesra
PhD, Biomedical Engineering, PhD, Biomedical Engineering at Washington University in St. Louis
English, Hindi, Marathi