I am a full-stack software engineer and researcher interested in the intersection of AI and cognitive science. Currently, I build web applications with The Church Pension Group and work as a researcher in a cognitive modeling lab at NYU.
Ruby/Rails, JavaScript, Python, React, PyTorch, AI, Neural Networks, Research.
Top Skills
Contact
Tomjmaher4@gmail.com
Current Work
Research Assistant with Dr. Grace Lindsay
CPG is a non-profit that provides benefits to employees of the Episcopal Church. I help to build and maintain the web applications and APIs that allow employers in the church enroll and manage benefits for themselves and their employees.
Software Engineer with Church Pension Group
Additional Work and Projects
AIfSR (2022-2023)
AIfSR uses AI and machine learning to help research labs solve complex problems. On this team, I built a convolutional neural network for detecting transposable elements in a genome and created a pipeline that can help researchers make informed inferences about poorly understood proteins.
In this research paper, my peers and I inspect an LLM’s ability to utilize high-level knowledge such as syntactical structure by systematically introducing noise to the input.
Research Project (2022)
FitorMiss (2017-2018)
A web application for enrolling in gym courses. I worked closely with the founder to design and build the Ruby on Rails/React web application to support the service.