Clara McCreery

Engineering Manager at Semgrep
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco, California, United States, US
Languages
  • English Native or bilingual proficiency
  • German Limited working proficiency
  • Spanish Elementary proficiency
  • French Elementary proficiency

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Bio

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Credentials

  • Machine Learning
    Coursera Course Certificates
    Aug, 2016
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Engineering Manager
      • Jan 2023 - Present

    • Senior Software Engineer
      • Dec 2021 - Jan 2023

    • Software Engineer
      • Jul 2020 - Dec 2021

    • United States
    • Higher Education
    • 700 & Above Employee
    • Course Assistant for Principles of Computer Systems
      • Sep 2018 - Jul 2020

      Taught intensive systems class in C and C++ to a section of 32 students, and helped more than 50 students at office hours. Material included filesystems, multiprocessing, signal handling, threading, and distributed computing. Example assignments were to generate a terminal shell, pull information off of an old hard drive, create a web proxy and news aggregator, and implement map-reduce. Received very positive student reviews emphasizing patience and clarity.

    • Graduate Student
      • Aug 2018 - Jul 2020

      Computer Science

    • Graduate Research Assistant
      • Sep 2018 - Jun 2019

      Conducted machine learning research advised by Christopher Ré focused on multi-task learning, transfer learning, and weak supervision, specifically as applied to genomics data and NLP. Achieved a state-of-the-art score of 83.2 on the GLUE benchmark using massively multitask learning. Contributed to the Snorkel/MeTaL framework for weak supervision in a multi-task setting.

    • Hospitals and Health Care
    • 1 - 100 Employee
    • Machine Learning Research Intern
      • Jun 2019 - Sep 2019

      Led a natural language processing (NLP) research project to identify pairs of similar medical questions for a start-up that is applying machine learning to doctor-patient interactions. Achieved a 6% performance improvement over previous state-of-the-art models on this task. Wrote a first-author paper that was accepted to the ML4H workshop at NeurIPS 2019. Also animated the typing indicator for a doctor-patient chat application using React Native. Led a natural language processing (NLP) research project to identify pairs of similar medical questions for a start-up that is applying machine learning to doctor-patient interactions. Achieved a 6% performance improvement over previous state-of-the-art models on this task. Wrote a first-author paper that was accepted to the ML4H workshop at NeurIPS 2019. Also animated the typing indicator for a doctor-patient chat application using React Native.

    • United States
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Associate Technical Staff
      • Mar 2018 - Aug 2018

      Promoted early for exceptional technical research and communication skills. Research creatively combined computer vision, data analysis, and chemical engineering to counter chemical, biological, and explosive threats.

    • Assistant Technical Staff
      • Jul 2015 - Mar 2018

    • United States
    • Manufacturing
    • 300 - 400 Employee
    • Research Analyst
      • Jan 2015 - Jun 2015

      Created a temperature modeling approach for predicting temperature profiles of polymer resins for an innovative 3D-production process. Used a combination of heat transport theory, computer modeling, and experimental validation. Created a temperature modeling approach for predicting temperature profiles of polymer resins for an innovative 3D-production process. Used a combination of heat transport theory, computer modeling, and experimental validation.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher in Chemical Engineering
      • Sep 2014 - Jun 2015

      Working with Jeremy Feldblyum in Zhenan Bao's research group on the growth and analysis of Covalent Organic Frameworks for thin film transistors. Applications for flexible electronics and sensors.

    • Teaching Assistant (TA) for Chem 31x, Chemical Principles Accelerated
      • Aug 2014 - Dec 2014

      Teaching a section of Chem 31x including labs, holding office hours, and grading midterm and final exams.

    • Chemical Manufacturing
    • 700 & Above Employee
    • GMACS Intern in KPI data management and analysis
      • Jun 2014 - Aug 2014

      I gained a lot of experience programming in Excel, using it to sort and analyze copious amounts of data. I designed a system that could be re-used with minimum work to analyze new data as frequently as desired. I was working for the Global Market Access team in Strategic Access and Operations for the Summer, and also used Excel to automate some of the budget calculations. I gained a lot of experience programming in Excel, using it to sort and analyze copious amounts of data. I designed a system that could be re-used with minimum work to analyze new data as frequently as desired. I was working for the Global Market Access team in Strategic Access and Operations for the Summer, and also used Excel to automate some of the budget calculations.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher
      • Jun 2013 - Aug 2013

      I conducted independent research on the effects of dopants on citric acid crystals, specifically on the transition between anhydrous and monohydrate forms. I conducted independent research on the effects of dopants on citric acid crystals, specifically on the transition between anhydrous and monohydrate forms.

Education

  • Stanford University
    Master's degree, Computer Science
    2018 - 2020
  • Stanford University
    Bachelor of Science (BS), Chemical Engineering
    2011 - 2015
  • Walt Whitman High School
    2007 - 2011

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