Los Alamos National Laboratory | Icebreaker

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Los Alamos National Laboratory | Icebreaker

Los Alamos National Laboratory

Los Alamos National Laboratory

Los Alamos National Laboratory is a United States Department of Energy national laboratory

170 members

Contact info

Link

lanl.gov

Members

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Engineering Leader and Entrepreneur | Hiring

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Director of Data Science, Coinbase

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Vice President, Machine Learning at Morgan Stanley

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I'm a senior at Colorado College majoring in Computer Science, with additional interests in German and Comparative Literature. I'm particularly drawn to high-performance computing and creative approaches to networking challenges. Outside of academic pursuits, I love challenging myself in the outdoors through trail running, skiing, and biking.

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Distinguished Scientist - Investigative Toxicology at Sanofi

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Engineering & Science Leader | ex-Amazon | ex-Los Alamos

Ryan Gutenkunst

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Professor and Department Head of Molecular and Cellular Biology at University of Arizona

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Software Engineer at Canonical Ltd.

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I have always been driven by a deep passion for improving decision-making and harnessing the power of computation in this pursuit; I'm happiest when I have a tough problem to tackle! • Applied decision-making, systems thinking, and machine learning methodologies to assist multiple clients as a freelance consultant (e.g., strategic word choice through latent dirichlet analysis, uncertainty analysis to guide capital investment decisions; for more see https://www.thedecisionblog.com) • Strong familiarity with algorithm design and implementation - I can code up anything from a prefix tree to a decision tree to a neural net from scratch (for many examples, see https://github.com/estimatrixPipiatrix/decision-scientist) • Through research and teaching, applied sophisticated computational frameworks to real-world socio-technical-physical systems (e.g., investment in renewable and unrenewable resources, volcanic-biological systems) • 10 years of experience managing research teams leading to modeling innovations and completion of several peer-reviewed scientific publications (available on request) Specialties: numerical simulation, machine learning, deep learning, Python, SQL, decision making

Brenda Rubenstein

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Associate Professor of Chemistry and Physics

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