William Guss's Email & Phone Number

💼 Past Experience

Overall, William Guss has experience working in the field of Computer Vision and Machine Learning. He has worked with Deep reinforcement learning and artificial intelligence on various projects, and has written several papers on the topic.

🎓 Education

William Guss's education provides the groundwork for someone who wants to enter the field of machine learning, as he has studied at a level that allows him to process large amounts of data. William Guss is also a PhD currently in machine learning at Carnegie Mellon University, where he is working on a project that uses machine learning to predict stock prices. This experience and education has allowed William Guss to develop an intricate understand of the field of machine learning and its potential uses.William Guss is also currently pursuing a B.A. from University of California, Berkeley, in mathematics and computer science, which he hoped would help him enter the field of machine learning with more ease. With this background and experience, William Guss is page one ready for the field of machine learning.

💡 Technical & Interpersonal Skills

R Scholar, Carnegie Mellon UniversityResearch Scientist at OpenAIDoctoral Researcher at Carnegie Mellon University in Greater Pittsburgh Area Visiting Researcher at Freie Universität Berlin from May 2019 to July 2019 (3 months) in Berlin Area, Germany Visiting researcher at the Institute of Mathematics at Freie Universitaet Berlin. Working in the Discrete Topology and Geometry group. software Developer at University of Utah, Musculoskeletal Research Lab from May 2014 to August 2014 (4 months) in Salt Lake City, Utah Parallelized C++ finite element solver, FEBio, for biomechanics simulation Co-founder, AI Research Scientist at Lattice from April 2019 to January 2020 (10 months) in San Francisco Bay Area Making robots think and reason.Research Scientist at OpenAI in San Francisco Bay AreaWorking towards building general AI agents in open world environments using deep reinforcement learning.Continuation of work on the MineRL project.Doctoral Researcher at Carnegie Mellon University in Greater Pittsburgh Area Visiting Researcher at Freie Universität Berlin from May 2019 to July 2019 (3 months) in Berlin Area, Germany Visiting researcher at the Institute of Mathematics at Freie Universitaet Berlin. Working in the Discrete Topology and Geometry group.Software Developer at University of Utah, Musculoskeletal Research Lab from May 2014 to August 2014 (4 months) in Salt Lake City, UtahChief Technology Officer at Infoplay AI from April 2017 to January 2019 (1 year 10 months) in San Francisco Bay AreaProject Manager on OpenBrain, amassive asynchronous recurrent neurocomputational approach to AGI.Researching Deep Active Learning, a bridge between deep learning and active learning using policy/selection steps in-spired by Alpha Go.successfullaunched and managed 6 research teams expected for publication in late 2016.