Henry Bigelow is a highly skilled software engineer and computational biologist, with expertise in c/c++, machine learning / deep learning, Bayesian networks, Hidden Markov Models, sampling, statistical techniques, interactive data visualization, database design, and genomic analysis. He holds a Bachelor of Arts in Biology from Oberlin College and a PhD in Bioinformatics from Columbia University.

Throughout his career, Henry has had a keen interest in writing and debugging efficient software for solving scientific problems in order to aid genome analysis for target discovery, resistance mechanisms, and micro-evolution in collaboration with biologists. He has also gained a strong interest in deep learning currently using TensorFlow and CUDA programming.

Henry's professional experience includes positions at the Undisclosed Startup as Chief Software Architect, Amgen and The Broad Institute as a Computational Biologist, Columbia University as a Post-doctoral research scientist, and at UCLA and the University of Chicago as a Research Technician. His scholarly work has been published in multiple scientific journals and can be found on his Google Scholar profile.

Overall, Henry is seeking a demanding role in software engineering and machine learning research applied to any practical problem domain.