Machine Learning Research Intern
CurrentAccelerating model inference with neuroscience-inspired processing and hybrid architectures
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John Wang is listed as CS and Biomedical Data Science at Stanford University at Numenta, a company with 22 employees, based in Stanford, California, United States. AeroLeads shows a matched LinkedIn profile for John Wang.
John Wang previously worked as Machine Learning Research Intern at Numenta and Undergraduate Researcher at Arc Institute. John Wang holds Master Of Science - Ms, Biomedical Data Science from Stanford University.
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Hi, I'm John! I am a Stanford student (B.S. Computer Science, M.S. Biomedical Data Science) broadly interested in applications of machine learning for biology and systems+design for efficient model learning and inference. Right now, my research interests lie in protein design and drug discovery!More at jnwang.me
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Accelerating model inference with neuroscience-inspired processing and hybrid architectures
Laboratory of Evolutionary Design - Hie GroupWorking on improving models for protein design
Palo Alto, California, United States
Outdoor Center Specialist: - Managed gear, rentals, and aided group trip logistics for Stanford program trips
Built generalized predictive maintenance model pipelines with survival analysis models and real-time signal processing across a wide range of data formats.
Stanford, California, United States
Undergraduate Researcher in the Dror Lab researching methods for improving AlphaFold models for ligand docking. Experiments in binding pocket refinement through restrained MD simulations and energy minimization. Developed pipelines to improve AlphaFold ligand-docking performance across broad protein families.
Worked with the Undiagnosed Disease Network (Wheeler/Ashley group) to analyze immune cell type frequencies and patterns in rare diseases.
- Annotated and analyzed cruciviruses and some ssRNA viruses obtained from data mining and metagenomic samples. - Used various software to detect known capsid and replication genes as well as other genetic sites. - Wrote scripts to document sequence data, parse data sets to increase annotation efficiency, and automatically annotate sequences with HMM.
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Uday Simha
Colleague at NumentaBengaluru, Karnataka, India, India
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TK
Till Köster
Colleague at NumentaGreater Rostock Region, Germany
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LS
Luiz Scheinkman
Colleague at NumentaSunnyvale, California, United States, United States
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DR
David Ragazzi
Colleague at NumentaVitória, Espírito Santo, Brazil, Brazil
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HS
Harry Saal
Colleague at NumentaPalo Alto, California, United States, United States
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BC
Ben Cohen
Colleague at NumentaSan Francisco, California, United States, United States
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HL
Hojae Lee
Colleague at NumentaRedwood City, California, United States, United States
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DV
Dr. Viviane Clay
Colleague at NumentaPlataniás, Crete, Greece, Greece
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AG
Agi Gangster
Colleague at NumentaDelhi, India, India
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Coterminal Masters in Biomedical Data Science
Activities and Societies: Stanford Triathlon, Climbing Team, Alpine Club, Outdoor Programs. Sometimes: Running Club, Cycling Club, Sports.
Activities and Societies: Science Club (Captain), Quiz Bowl/History Bowl (President), Math Club (Vice President), CS Club. Varsity Track &.
Completed courses in Linear Algebra, Multivariate Calculus, and Data Structures
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John Wang works for Numenta.
John Wang is listed as CS and Biomedical Data Science at Stanford University at Numenta.
John Wang is based in Stanford, California, United States while working with Numenta.
John Wang has worked for Numenta, Arc Institute, Stanford University, Virtualitics, Inc., and Stanford Artificial Intelligence Laboratory (Sail).
John Wang's colleagues at Numenta include Uday Simha, Till Köster, Luiz Scheinkman, David Ragazzi, and Harry Saal.
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John Wang holds Master Of Science - Ms, Biomedical Data Science from Stanford University.
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