Machine Learning Guided Protein Evolution for CAR-T Drug Discovery

About the speaker: Alfredo was born in Mexico City and raised in Guadalajara, Mexico. He majored in Computer Science and Electrical Engineering and minored in Math at UC Berkeley. He is very interested in machine learning, synthetic biology, developer tools, and the intersection of the three. Software and artificial intelligence are revolutionizing our understanding and interactions with biology. He is building tools to help computational biologists push the forefront of that revolution. Talk abstract: Biology is moving faster than ever before. New advances in synthetic biology are allowing biologists to design and synthesize proteins. This in turn allows them to develop new therapeutics and attack diseases such as cancer in ways that were previously unimaginable. One amazing example is immunooncology--helping your own immune system attack and cure cancer. In this talk, I will be explaining how these therapeutics work and discussing how machine learning is being used to accelerate their design. I will assume