# Katarina Mayer

> Software Engineer - Quantitative Trading at Marshall Wace

Location: New York, New York, United States
Profile: https://flows.cv/katarinamayer

Katarina is an experienced Software Engineer passionate about building high performance trading systems and financial services applications. Prior to joining Marshall Wace in New York, Katarina graduated with her M.S in Computer Science from the Johns Hopkins University with research focused in networking systems and cloud computing. In 2020, Katarina graduated with honors from the Johns Hopkins University with a B.S. in Biomedical Engineering and Computer Science.

## Work Experience
### Software Engineer - Quantitative Trading @ Marshall Wace
Jan 2021 – Present | New York, New York, United States

### Head Teaching Assistant @ The Johns Hopkins University
Jan 2020 – Jan 2021
- Head TA for Computer Networks (Spring 2021)
- Head TA for Parallel Programming (Fall 2020)

### Quantitative Trading Software Development Intern @ Marshall Wace
Jan 2020 – Jan 2020 | New York, New York, United States

### Teaching Assistant @ The Johns Hopkins University
Jan 2018 – Jan 2020 | Baltimore, Maryland Area
- TA for Parallel Programming (Spring 2020)
- TA for Computer System Fundamentals (Fall 2019)
- TA for Biomedical Data Science Lab (Fall 2019)
- TA for Computational Cardiology Lab (Fall 2019)
- TA for BME Modeling & Design (Fall 2018) 
- TA for Engineering Design Studio (2018-19)

### Product Management Intern @ RTI
Jan 2019 – Jan 2019 | San Francisco Bay Area
• Scope and help launch RTI’s first internal platform to collect usage statistics for IoT connectivity software.
• Conduct a study of 500+ customers to understand and document new user experience with RTI products. Meet with customers to identify user pain points and barriers to product adoption.
• Collaborate with engineering managers and PMs to define the scope of the next product release.

### Product Development Intern @ Sonavex, Inc.
Jan 2018 – Jan 2018 | Baltimore, Maryland Area

### Research Intern @ University Health Network
Jan 2017 – Jan 2017 | Toronto, Canada
• Design system hardware and build prototype of ambulatory physiological signal monitoring system with application to elderly patient care and rehabilitation.
• Collect, process and synchronize signals; model collected data using machine learning.


Affiliations: iDAPT Center for Rehabilitation Research, Intelligent Assistive Technology and Systems Lab (IATSL), IBBME University of Toronto

### Research Assistant @ University of Toronto, Institute of Biomaterials & Biomedical Engineering
Jan 2016 – Jan 2016 | Toronto, Canada
• Develop algorithms to synchronize data; compile machine learning training data sets.
• Implement pattern recognition methods to promote insight into cognitive stroke rehabilitation and explore technology solutions.


Affiliations: Intelligent Assistive Technology & Systems Lab (IATSL), IBBME University of Toronto

### Summer Intern @ Stanford University School of Medicine
Jan 2015 – Jan 2015 | San Francisco Bay Area


## Education
### Master of Science in Engineering (M.S.E.) in Computer Science
The Johns Hopkins University

### Bachelor of Science (B.S.) in Biomedical Engineering, Computer Science
The Johns Hopkins University

### International Baccalaureate Diploma
Michael Power St. Joseph High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/katarina-mayer

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Source: https://flows.cv/katarinamayer
JSON Resume: https://flows.cv/katarinamayer/resume.json
Last updated: 2026-04-13