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Jon Kaufman is listed as Associate Directory of Physics Based Machine Learning at DeepCure, based in Boston, Massachusetts, United States. AeroLeads shows phone signal with area code 301, 410, 703 and a matched LinkedIn profile for Jon Kaufman.
Jon Kaufman previously worked as Principal Scientist, Machine Learning at Deepcure and Senior Machine Learning Scientist at Deepcure. Jon Kaufman holds Doctor Of Philosophy (Ph.D.), Physics from Uc San Diego.
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I bridge the gaps between physics, computational chemistry, and machine learning to find new treatments for diseases.Previously, I have worked in Big Data for financial regulatory compliance at large global banks, and was a post-doctoral researcher at the University of California on the POLARBEAR and Simons Array telescopes in the high-altitude Atacama desert of Chile, and the BICEP2 telescope at the South Pole.My academic work has been awarded the Buchalter Cosmology Prize, has been published in The Astrophysics Journal, Physical Review, and Monthly Notices of the Royal Astronomy Society, and has been featured in numerous news sources including The Wall Street Journal, New York Times, Washington Post, and the Guardian.I pride myself on science and technology communication and have appeared on several programs for the BBC, NPR, and podcasts.I've spent four summers at the geographic South Pole, building, testing, and decommissioning the BICEP2 telescope, for which I was awarded the Antarctica Service Medal from the National Science Foundation.
Listed skills include Latex, Physics, Machine Learning, Python, and 39 others.
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Boston, MA, US
I manage the research and implementation of physics- and computational chemistry-based modeling and machine learning for DeepCure's unique AI-integrated drug discovery platform.
Boston, MA, US
I run applied research programs at the intersection of physics, computational chemistry, and machine learning to advance AI-based drug discovery.
Boston, MA, US
I work with an incredible group of people applying advanced machine learning and artificial intelligence to the challenging world of drug discovery.
Brooklyn, NY, US
Technical advising for using Artificial Intelligence and Machine Learning solutions for carbon credit regulations and transactions.
Lucerne, CH, CH
I conceptualize, architect, and oversee the build and strategy for all of 4th-IR's products. I am responsible for the artificial intelligence and machine learning solutions involved in our products as well as in our service catalog.I also interface with the clients and sales teams to help evangelize AI and our solutions.
Lucerne, CH, CH
I'm responsible for the design, build, and delivery of Artificial Intelligence, Machine Learning, and Data Science algorithms for our healthcare, finance, and business solutions.I run workshops and sales meetings to familiarize our clients with the latest technology and develop AI-based solutions tailored to their needs.I report directly to both management.
Zug, CH
Machine learning and Artificial Intelligence applications for finance, healthcare, and beyond.Risk analysis, CCAR, stress-testing, and data quality monitoring, lineage, and analysis.Incorporating machine learning and analytics to streamline client-consultant relationships.
La Jolla, CA, US
Designed, built, and tested diverse systems for the POLARBEAR-2 and Simons Array microwave telescopes in the Atacama desert of Chile.Developed an advanced polarization calibration technique.Trained graduate and undergraduate students in physics concepts, statistics, mechanical design, and data analysis.
La Jolla, CA, US
Developed hardware and software solutions for many diverse and unique problems for the BICEP2 telescope.Used advanced data analysis techniques to probe complex systematics as well as obtain science results.Most published student in the lab with more than 15 co-authored papers and three primary-authored, published papers.
Assembled and installed the BICEP2 telescope on site, as well as personally decommissioned in the 2012-2013 season.Daily maintenance operations including refilling liquid cryogens, re-cycling refrigerator, and operational data analysis for quality checks.Installing, testing, and applying many calibration devices in situ, requiring much improvisation due to.
Pasadena, CA, US
Assisted with the design, assembly, and testing of the BICEP2 telescope at JPL and CalTech before deployment. Experience with machining, handling cryogenics and high vacuum, and communication between calibration equipment and computer readout.
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Jon Kaufman works for DeepCure.
Jon Kaufman is listed as Associate Directory of Physics Based Machine Learning at DeepCure.
AeroLeads has found 6 phone signal(s) with area code 301, 410, 703 for Jon Kaufman at DeepCure.
Jon Kaufman is based in Boston, Massachusetts, United States while working with DeepCure.
Jon Kaufman has worked for Deepcure, Common Forge, 4Th-Ir, Trestle Group, and University Of California, San Diego.
You can use AeroLeads to view verified contact signals for Jon Kaufman at DeepCure, including work email, phone, and LinkedIn data when available.
Jon Kaufman holds Doctor Of Philosophy (Ph.D.), Physics from Uc San Diego.
Jon Kaufman is listed with skills including Latex, Physics, Machine Learning, Python, Programming, Parallel Computing, Fortran, and Linux.
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