Cesar Echavarria, PhD

Senior Data Scientist at Synchron
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Contact Information
Location
Brooklyn, New York, United States, US
Languages
  • Spanish -
  • German -

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Credentials

  • Foundations of Project Management
    Coursera
    Jan, 2023
    - Sep, 2024
  • SQL for Data Science
    Coursera
    Aug, 2021
    - Sep, 2024
  • Deep Learning Specialization
    Coursera
    Jan, 2020
    - Sep, 2024
  • Digital Signal Processing 2 - Filters
    Coursera
    Feb, 2019
    - Sep, 2024
  • Digital Signal Processing 1
    Coursera
    Jan, 2019
    - Sep, 2024

Experience

    • Ukraine
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Senior Data Scientist
      • Jan 2023 - Present

    • Data Scientist
      • Feb 2022 - Jan 2023

      Building neurotechnology solutions for patients. Synchron's vision is to transform medicine with unprecedented access to brain data.

    • United States
    • Research Services
    • 1 - 100 Employee
    • Neuro-Data Scientist
      • Oct 2021 - Jan 2022

      - Building data science solutions for academic neuroscience labs - Developing software tools for data conversion to the Neurodata Without Borders (NWB) standard - Building data science solutions for academic neuroscience labs - Developing software tools for data conversion to the Neurodata Without Borders (NWB) standard

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Visting Fellow
      • Mar 2021 - Dec 2021

      - Developed software to classify functional states form neural interface signals. - Benchmarked algorithms for cross-domain adaptation of neurophysiological signals. - Developed software to classify functional states form neural interface signals. - Benchmarked algorithms for cross-domain adaptation of neurophysiological signals.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Sep 2014 - Mar 2021

      - Collected large-scale neuronal activity data sets using two-photon microscopy - Conducted analysis of multidimensional neuronal data using statistical and machine learning techniques - Employed computer vision methods for quantitative analysis of visual stimuli - Manage and mentor undergraduate students - Collected large-scale neuronal activity data sets using two-photon microscopy - Conducted analysis of multidimensional neuronal data using statistical and machine learning techniques - Employed computer vision methods for quantitative analysis of visual stimuli - Manage and mentor undergraduate students

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Research Assistant
      • Oct 2012 - Sep 2014

      - Conducted research using fMRI to study the functional architecture of the human visual cortex - Led and published an independent research project - Performed statistical analysis of large neural data sets - Employed computer vision methods for creation and analysis of visual stimuli - Coordinated human subject recruitment and data acquisition - - Conducted research using fMRI to study the functional architecture of the human visual cortex - Led and published an independent research project - Performed statistical analysis of large neural data sets - Employed computer vision methods for creation and analysis of visual stimuli - Coordinated human subject recruitment and data acquisition -

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Research Assitant
      • Sep 2009 - May 2012

      - Planned and research projects on the neural basis of visual cognition - Collected and conducted statistical analysis of neural and behavioral data - Presented research findings to technical and non-technical audiences - Planned and research projects on the neural basis of visual cognition - Collected and conducted statistical analysis of neural and behavioral data - Presented research findings to technical and non-technical audiences

    • Switzerland
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher
      • Jun 2011 - Sep 2011

      - Developed a computational model of human visual shape perception - Developed a computational model of human visual shape perception

    • Germany
    • Research Services
    • 1 - 100 Employee
    • Undergraduate Researcher
      • Jun 2010 - Sep 2010

      - Collaborated on research project studying the neural basis of multisensory integration. - Employed statistical and machine learning techniques to understand computations of single neurons in primate sensory cortex - Collaborated on research project studying the neural basis of multisensory integration. - Employed statistical and machine learning techniques to understand computations of single neurons in primate sensory cortex

    • Canada
    • Higher Education
    • 1 - 100 Employee
    • Research Intern
      • 2009 - 2009

Education

  • Harvard University
    Doctor of Philosophy (Ph.D.), Neuroscience
    2014 - 2020
  • Massachusetts Institute of Technology
    BS, Brain & Cognitive Sciences
    2008 - 2012
  • Miami Palmetto Senior High School
    2004 - 2008

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