Clara McCreery
Engineering Manager at Semgrep- Claim this Profile
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English Native or bilingual proficiency
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German Limited working proficiency
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Spanish Elementary proficiency
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French Elementary proficiency
Topline Score
Bio
Credentials
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Machine Learning
Coursera Course CertificatesAug, 2016- Nov, 2024
Experience
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Semgrep
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United States
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Software Development
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1 - 100 Employee
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Engineering Manager
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Jan 2023 - Present
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Senior Software Engineer
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Dec 2021 - Jan 2023
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Software Engineer
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Jul 2020 - Dec 2021
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Stanford University
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United States
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Higher Education
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700 & Above Employee
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Course Assistant for Principles of Computer Systems
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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.
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Graduate Student
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Aug 2018 - Jul 2020
Computer Science
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Graduate Research Assistant
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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.
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Curai Health
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Hospitals and Health Care
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1 - 100 Employee
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Machine Learning Research Intern
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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.
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MIT Lincoln Laboratory
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United States
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Defense and Space Manufacturing
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700 & Above Employee
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Associate Technical Staff
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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.
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Assistant Technical Staff
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Jul 2015 - Mar 2018
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Carbon
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United States
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Manufacturing
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300 - 400 Employee
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Research Analyst
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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.
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Stanford University
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Researcher in Chemical Engineering
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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.
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Teaching Assistant (TA) for Chem 31x, Chemical Principles Accelerated
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Aug 2014 - Dec 2014
Teaching a section of Chem 31x including labs, holding office hours, and grading midterm and final exams.
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Bayer
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Chemical Manufacturing
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700 & Above Employee
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GMACS Intern in KPI data management and analysis
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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.
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Georgetown University
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Researcher
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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.
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Education
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Stanford University
Master's degree, Computer Science -
Stanford University
Bachelor of Science (BS), Chemical Engineering -
Walt Whitman High School