Nicholas Hardy, PhD

Machine Learning Research Engineer at Synchron
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(386) 825-5501

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Experience

    • United States
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Machine Learning Research Engineer
      • Jul 2022 - Present

    • Venture Capital and Private Equity Principals
    • 100 - 200 Employee
    • Research Advisor
      • Oct 2021 - Aug 2022

      - Technical advisor for venture capital investments in the mental health space. - Conducting technical research to advise investment decisions. - Communicating simplified technical and statistical information to a non-technical audience. - Assessing the scientific feasibility of early-stage neurotechnology companies. - Technical advisor for venture capital investments in the mental health space. - Conducting technical research to advise investment decisions. - Communicating simplified technical and statistical information to a non-technical audience. - Assessing the scientific feasibility of early-stage neurotechnology companies.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Scholar
      • Oct 2018 - Feb 2021

      Postdoctoral Scholar in Dr. Karunesh Ganguly's lab. - Developed cutting edge brain computer interface (BCI) technology for neural prosthetic medical devices. - Advanced paralyzed patients' ability to communicate and perform activities of daily living. - Co-first author research paper published in Nature Biotechnology. - Deep Reinforcement Learning for BCI: Researched deep neural networks to decode recorded neurological data for clinical applications. Applied deep Q-learning to improve performance in real-time BCI.

    • United States
    • Higher Education
    • 700 & Above Employee
    • PHD Candidate
      • Sep 2012 - Jun 2018

      Graduate Student Researcher in the laboratory of Dr. Dean Buonomano, Department of Neurobiology - Examining the role of recurrent neural network dynamics in sensory and motor computations - Developing computational models of neural networks to explain temporal processing - Applied a multidisciplinary approach to studying neuroscience, including psychophysics, computational models, electrophysiology, and calcium imaging. - Analyzed and managed large data sets, and developed novel data analysis tools

    • Committee Member
      • Jun 2015 - Sep 2017

      Elected by the Neuroscience PhD program student body to advise program leadership on the curriculum, graduation requirements and other matters related to graduate education. Elected by the Neuroscience PhD program student body to advise program leadership on the curriculum, graduation requirements and other matters related to graduate education.

    • United States
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Intern
      • Apr 2017 - Jul 2017

      - Developed applications for neuromorphic computing and brain-computer interface technologies. - Assisted in improving decoding of neural time series data for semantic classification. - Developed applications for neuromorphic computing and brain-computer interface technologies. - Assisted in improving decoding of neural time series data for semantic classification.

  • UCLA Brain Research Institute
    • UCLA, Los Angeles, California
    • Brain Awareness Week Director and Coordinator
      • Sep 2014 - Aug 2015

      - Planned and executed outreach activities designed to increase interest in neuroscience and higher education to 16 LA K-12 schools in primarily underserved communities. - Acquired over $5000 in funding for UCLA Brain Awareness Week 2014. - Coordinated over 60 undergraduate, graduate, and faculty volunteers during Brain Awareness Week. - Planned and executed outreach activities designed to increase interest in neuroscience and higher education to 16 LA K-12 schools in primarily underserved communities. - Acquired over $5000 in funding for UCLA Brain Awareness Week 2014. - Coordinated over 60 undergraduate, graduate, and faculty volunteers during Brain Awareness Week.

    • Admissions Committee Member
      • Dec 2014 - Feb 2015

      Assessed the qualifications of prospective students applying for admission to the Neuroscience IDP at UCLA and selected the applicatns to be offered admission. Assessed the qualifications of prospective students applying for admission to the Neuroscience IDP at UCLA and selected the applicatns to be offered admission.

    • United States
    • Research Services
    • 1 - 100 Employee
    • Research Assistant
      • Feb 2012 - Jun 2012

      - Examined the neurological and genetic origins of Schizophrenia in the laboratory of Dr. Keri Martinowich - Developed computational tools to analyze EEG activity - Studied the effects of brain-derived neurotrophic factor (BDNF) in genetic mouse models of Schizophrenia - Examined the neurological and genetic origins of Schizophrenia in the laboratory of Dr. Keri Martinowich - Developed computational tools to analyze EEG activity - Studied the effects of brain-derived neurotrophic factor (BDNF) in genetic mouse models of Schizophrenia

    • Research Services
    • 700 & Above Employee
    • Intramural Research Training Awardee
      • Aug 2009 - Feb 2012

      - Examined the genetic and neural network mechanisms underlying Schizophrenia and depression. - Co-authored eight peer-reviewed research articles. - Examined the genetic and neural network mechanisms underlying Schizophrenia and depression. - Co-authored eight peer-reviewed research articles.

Education

  • University of California, Los Angeles
    Doctor of Philosophy (Ph.D.), Neuroscience
    2012 - 2018
  • University of Maryland College Park
    Bachelor of Science (B.S.), Psychology
    2005 - 2009

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