Tobias Kreiman

tobias kreiman-Hearts to Humanity Eternal

I am a PhD student in the EECS department, working at the intersection of machine learning and the physical sciences. On the one hand, I am interested in how our knowledge of physics can inspire new machine learning algorithms. On the other hand, I am developing machine learning methods that can simulate molecules and materials thousands of times faster and at comparable accuracy to first principles quantum mechanical calculations. Being able to efficiently simulate and understand atomic worlds will open the door for material discovery, drug design, and beyond. Outside of my research, I enjoy playing soccer and tennis, and I am learning how to play the guitar.