William Guss work email
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William Guss personal email
William Guss phone numbers
I do machine learning and artificial intelligence. wguss.ml | minerl.io
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Co-FounderProject PrometheusAlbany, Ca, Us -
Chief Research ScientistLydian Jan 2022 - PresentDeveloping theoretical methods for principled applications of deep neural networks to real-world problems. -
Research ScientistOpenai Jan 2020 - Dec 2021San Francisco, Ca, Us* Codeveloped the first version of copilot* Developed methodologies for scaling large language models using human feedback, via imitation learning (ExpIt) and reinforcement learning from human feedback. Uncovered data feedback and compute scaling laws for model alignment.* Contributed to codex, a large language model capable of programming at a human level. Helped develop the first release of copilot (the vscode AI autocomplete extension which was acquired by Github).* Handled handover of my PhD project, MineRL, developing large scale Minecraft AI models. Organized 3 official NeurIPS conference workshops and competitions.* Developed new imitation learning algorithms based on distance-to-measure techniques from computational topology and applied them to Procgen environments. * Performed extensive testing of state-of-the-art imitation learning algorithms in complex environments. -
Doctoral ResearcherCarnegie Mellon University Aug 2017 - Dec 2021Pittsburgh, Pa, Us -
Visiting ResearcherFreie Universität Berlin May 2019 - Jul 2019Berlin, DeVisiting researcher at the Institute of Mathematics at Freie Universitaet Berlin. Working in the Discrete Topology and Geometry group.* Developing theoretical framework for analyzing deep neural networks using algebraic topology. -
Chief Technology OfficerInfoplay Ai Apr 2017 - Jan 2019InfoPlay is a cryptocurrency hedge fund applying stochastic gradients to markets.* Managed the development of deep reinforcement learning infrastructure for online trading in financial markets.* Developed long-term roadmaps for technology acquisition and strategized development of proprietary methodologies.* Created novel reinforcement learning approach for acting multi-modal, non-stationary environments leveraging multiple asynchronous data sources.* Led and managed small team to implement the technology roadmap. -
Team Lead, Nlp ResearcherEigen: Amazon Alexa Prize Team Nov 2016 - Oct 2017Berkeley, Us* Leading one of twelve sponsored teams competing to pursue the development of conversational AI; received $100,000 grant from Amazon for year long project.* Building generative information retrieval model using neural turing machines and inverse reinforcement learning. -
Deep Learning ResearcherUniversity Of California, Berkeley May 2017 - Sep 2017Berkeley, Ca, UsResearching neural topological invariants and neural architecture search under Professor Dawn Song. Member of the AI for Data Science initiative. -
Machine Learning EngineerBonsai May 2016 - Jun 2017Berkeley, Ca, Us· Architected and implemented a new AI/ML backend for classification and deep reinforcement learning.· Designed and implemented HyperLearner, a generative hyper parameter suggestion backend for metamachine learningoptimization using manifold embeddings.· Built neural network descriptor language for wrapping a variety of DNN models.· Built training interface for OpenAI Gym. -
President, Director Of Research, FounderMachine Learning At Berkeley Nov 2015 - Jun 2017Berkeley, Us· Theorized and implemented new ML algorithm, Generalized Artificial Neural Networks. Presented work at the IntelInternational Science Fair.· Project Manager on OpenBrain, a massively 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.· Successfully launched and managed 6 research teams expected for publication in late 2016. -
Computer Vision ResearcherIcsi - International Computer Science Institute Sep 2016 - Feb 2017Berkeley, California, UsResearching new layer functions for complex neural networks on Fourier spectrum data, and developing reinforcement learning techniques to perform multiple model car, fleet driving. Advised by Stella Yu. -
Machine Learning ResearchUniversity Of Utah - Employment May 2015 - Aug 2015Salt Lake City, Utah, UsDeveloped generalization of Neural Networks to infinite dimensions in order to solve curse of dimensionality with high dimensional machine learning tasks. -
Software DeveloperUniversity Of Utah, Musculoskeletal Research Lab May 2014 - Aug 2014Parallelized C++ finite element solver, FEBio, for biomechanics simulation.
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Lead DeveloperLost Code Studios Aug 2012 - Aug 2014· Published Space Hordes to Xbox Live Indie Marketplace· Created component oriented entity framework, GameLib/GameLibJ for game development in C# and Java.· First prize in IGDA Salt Lake City - Global Game Jam (2013,2014).
William Guss Skills
William Guss Education Details
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Carnegie Mellon UniversityMachine Learning -
Carnegie Mellon UniversityMachine Learning - Research
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University Of California, BerkeleyMathematics
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University Of UtahMathematics And Computer Science
Frequently Asked Questions about William Guss
What company does William Guss work for?
William Guss works for Project Prometheus
What is William Guss's role at the current company?
William Guss's current role is Co-Founder.
What is William Guss's email address?
William Guss's email address is wi****@****nai.com
What is William Guss's direct phone number?
William Guss's direct phone number is 180189*****
What schools did William Guss attend?
William Guss attended Carnegie Mellon University, Carnegie Mellon University, University Of California, Berkeley, University Of Utah.
What skills is William Guss known for?
William Guss has skills like Computer Science, C#, C++, Java, Artificial Intelligence, Machine Learning, Artificial Neural Networks, Game Development, Mathematics, Composition, Javascript, Git.
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