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Dylan Pollack profile image

Dylan Pollack

Data Scientist at Pison
Intro Book
Dylan Pollack is a seasoned data scientist with 2 years of experience at Pison, leveraging expertise in deep learning and automated segmentation, and a Master's degree in Electrical and Computer Engineering from Boston University.
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Location
Somerville, Massachusetts, United States, US
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Dylan Pollack is a seasoned data scientist with a strong educational background in Electrical and Computer Engineering. He holds a Master of Science degree from Boston University, where he focused on Machine Learning, Signal Processing, and Computer Architecture. With extensive experience in the field, Dylan has worked at various prominent companies, including Pison, MIT Lincoln Laboratory, and Cogo Labs. His tenure at Cogo Labs spanned over four years, where he held positions as Lead Analyst, Senior Analyst, and Technical Analyst, driving significant revenue growth. Dylan's expertise extends to research, having conducted internships at Brandeis University and MIT Lincoln Laboratory, exploring neural correlates of motor error detection and deep learning approaches to automated segmentation of axons from brain microscopy data.

Experience

  • Pison
    • Boston, Massachusetts, United States
    • Data Scientist
      • Mar 2022 - Present
      • Boston, Massachusetts, United States

  • MIT Lincoln Laboratory
    • Co-op, Human Health and Performance Systems
      • Aug 2021 - Mar 2022

      Joint internship & Master's project exploring deep learning approaches to automated segmentation of axons from brain microscopy data.

  • Cogo Labs
    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Lead Analyst
      • Sep 2017 - Aug 2020

      Built scalable pipelines to process billions of rows of data per day; created models and generated digital content & ad recommendations across hundreds of product categories driving $5MM/year in incremental revenue for the company.

    • Senior Analyst
      • Sep 2016 - Aug 2017

    • Technical Analyst
      • Oct 2015 - Aug 2016

  • Brandeis University
    • Research Intern
      • May 2013 - Aug 2014

      (May 2013-August 2013 and May 2014-August 2014)Conducted research under the supervision of Dr. Paul DiZio at Ashton Graybiel Spatial Orientation Laboratory. Focus was on neural correlates of motor error detection, measured via EEG, with potential use in brain-computer interfaces.

Education

  • 2020 - 2022
    Boston University
    Master of Science - MS, Electrical and Computer Engineering
  • 2011 - 2015
    Pomona College
    Bachelor of Arts - BA, Cognitive Science

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Industry Focus. “Computer Software”

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