Studying statistics, computer science, and mathematics at Harvard. Research experience in large language models, topic modeling, concept bottleneck models, and multi-agent reinforcement learning. Published in NeurIPS and ICML. I love meeting new people! Feel free to reach out to grab a coffee or chat anytime!
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Member Of Technical StaffAnthropicBloomington, In, Us
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Teaching FellowHarvard University 2022 - PresentCS 121 Head Teaching Fellow (Theoretical Computer Science) - Fall 2023Stat 110 (Probability) - Fall 2023 & Fall 2024CS 124 (Data Structures & Algorithms) - Spring 2023CS 120 (Intro to Algorithms and their Limitations) - Fall 2022 -
Undergraduate ResearcherHarvard University 2021 - PresentCambridge, Massachusetts, United States• Second author of paper "Set-Based Prompting: Provably Solving the Language Model Order Dependency Problem" (NeurIPS 2024).• First author of paper “Diverse Concept Proposals for Concept Bottleneck Models” (ICML 2022).
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Algo Dev (Quant Research) InternHudson River Trading May 2024 - Aug 2024 -
Quantitative Research InternJump Trading Group Feb 2024 - May 2024Chicago, Illinois, United StatesMid frequency signal combination + nonlinear modeling of physical phenomena -
Quantitative Trading InternFive Rings Jan 2024 - Feb 2024 -
Core (Software Engineering) InternHudson River Trading May 2023 - Aug 2023
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Undergraduate Research InternCornell University Jun 2022 - Sep 2022Ithaca, New York, United StatesMulti-agent Reinforcement Learning -
Software Development InternMeta May 2022 - Aug 2022New York City Metropolitan AreaDecreased internal investigation time from 3+ hours to 2 minutes by developing a full-stack tool to aggregate Instagram Integrity metrics leveraging Hack PHP, React JS, Lua, and SQL. -
Data Science Curriculum DeveloperIndiana University Bloomington Aug 2020 - Sep 2021Bloomington, IndianaDeveloped and launched Indiana’s first K-12 data science curriculum in May 2021. Indiana Department of Education funding -
Software Development InternThe Bee Corp May 2021 - Jun 2021• Implemented Redux toolkit into verifli webapp to manage web application state• Developed bee-flight-hour python package, hosted on AWS Lambda, where calculations utilized data from weather APIs and AWS RDS, and stored results in AWS• Created and tested ReactJS UI components and backend database storage for user-modifiable configuration data
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Ml Research Engineering InternThe Bee Corp Jun 2020 - May 2021Bloomington, Indiana, United States• Implemented MaskRCNN object segmentation model to segment multiple bee hives per image; increased data collection speed over previous single-hive segmentation pipeline• Analyzed infrared image thermal distributions for quality control; annotated novel datasets• Worked with scikit-learn models and developed custom Keras Domain Adversarial Neural Network for hive analysis• Automated data processing pipeline (python scripting) to reduce need for human intervention • Worked with EC2, S3, RDS on AWS to store data and utilize GPU cloud computing
Katrina Brown Education Details
Frequently Asked Questions about Katrina Brown
What company does Katrina Brown work for?
Katrina Brown works for Anthropic
What is Katrina Brown's role at the current company?
Katrina Brown's current role is Member of Technical Staff.
What schools did Katrina Brown attend?
Katrina Brown attended Harvard University, Indiana University Bloomington, Bloomington High School South.
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Katrina Brown
2Nd Year Supply Chain Management Major At Penn State University | Smeal College Of BusinessUnited States -
Katrina Brown
Senior Specialist, Operations At Fujifilm Diosynth Biotechnologies | Ms From Brown UniversityLos Angeles Metropolitan Area -
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