Brenda Halpern
Lakewood,NJ
Summary
Experienced Software Engineer with a knack for bringing ideas to life. My style is direct and focused. I craft high quality solutions, spark innovative thinking, and rally teams toward common goals. I deliver real, measurable results, using my mix of technical know-how and leadership skills
Overview
8
8
years of professional experience
Work History
Software Engineer
Memorial Sloan Kettering Cancer Center
New York
03.2020 - Current
- Led the design and development of a diagnostic flagging system using LLM's, enabling automated analysis and flagging of hematopathology reports to assist pathologists in clinical decision-making.
- Spearheaded the development of an end-to-end data pipeline for integrating DeepHeme AI into clinical workflows, leveraging ML Ops practices and pipeline automation to enhance diagnostic capabilities through efficient, reliable, and scalable solutions
- Transformed the MPath Heme portal from a prototype to a production platform through development and deployment, facilitating efficient data management and analysis
- Designed and implemented the Flow Cytometry portal using React and Python, streamlining sign out analysis and faster turn around time for patient care
- Created a templating service for automated reporting using FastAPI and TypeScript, improving reporting accuracy and less variability amongst reporting text
- Integrated Lab Medicine data into the portal by designing APIs and building a user-friendly interface
Full Stack Software Engineer
Owal / NYU Future Labs
New York
09.2017 - 03.2020
- Developed the OWAL Portal, an internal communications platform for engineers to collaborate and share customer information
- Created an onboarding tool for new customers using Vue.js, PostgreSQL, Google APIs, and Node.js
- Implemented new features based on Clubhouse requests, enhancing platform functionality
- Resolved issues in the Clubhouse Bug Queue, contributing to system
Data Science Student/Researcher
Microsoft Research
New York
06.2019 - 08.2019
- Created reproducible code for data extraction, wrangling, formatting, and producing data frames using dplyr in R and command line scripts
- Assessed patterns and trends from NYC's Stop and Frisk data using tidyverse and ggplot packages
- Visualized insights through various plots and maps
- Explored racial disparities in police use of force using multiple logistic regression models
- Presented Data Science Research Project to MSR researchers and university faculty members
Education
Bachelor of Science -
Brooklyn College
01.2019
Skills
- Python
- React
- JavaScript
- TypeScript
- C/C
- Java
- R
- PostgreSQL
- MongoDB
- Vue
- Nodejs
- Django
- FastAPI
- Docker
- GitHub
- API Design
- Machine Learning
- Large Language Models
- ML Ops
- Data Visualization
- Statistical Analysis
- Software Development and Design
- Data Engineering
Publications and Presentations
- Expanding the scope of reproducibility research through data analysis replications, Organizational Behavior and Human Decision Processes, 2021, J. M. Hofman, D. G. Goldstein, S. Sen, F. Poursabzi-Sangdeh, J. Allen, L. L. Dong, B. Fried, et al.
- USCAP Presentation (2024): Presented work on the end-to-end pipeline for the clinical deployment of DeepHeme, showcasing its integration into pathology workflows.
- AMIA Abstract (2025): Authored an abstract detailing MPath Heme's advancements in hematopathology reporting, including real-time report generation and structured diagnostic flagging systems. Selected for presentation
Timeline
Software Engineer
Memorial Sloan Kettering Cancer Center
03.2020 - Current
Data Science Student/Researcher
Microsoft Research
06.2019 - 08.2019
Full Stack Software Engineer
Owal / NYU Future Labs
09.2017 - 03.2020
Bachelor of Science -
Brooklyn College
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