Alexa T.
About Alexa T.
Alexa T. is a Computational Neuroscience Research Trainee at The National Institutes of Health, focusing on enhancing visual intelligence in humans and improving neural network training. She has a background in Mathematics and Computer Science from New York University and has worked as an Introduction to Programming Grader since 2020.
Work at National Institutes of Health
Currently, Alexa T. serves as a Computational Neuroscience Research Trainee at the National Institutes of Health. In this role, she focuses on enhancing machine intelligence by studying human cognitive processes. Her research aims to bridge the gap between human-like intelligence and machine learning, contributing to advancements in the field of computational neuroscience.
Work at New York University
Since 2020, Alexa T. has been working at New York University as an Introduction to Programming Grader. In this position, she assesses student submissions and provides feedback, contributing to the academic development of students in programming. Her experience in academia complements her research interests and enhances her understanding of computational methods.
Education and Expertise
Alexa T. earned a Bachelor of Arts in Mathematics and Computer Science from New York University, completing her studies from 2018 to 2022. This educational background provides her with a strong foundation in both mathematical principles and computational techniques, which she applies in her research endeavors in computational neuroscience.
Research Focus and Interests
Alexa T.'s research focuses on utilizing concepts from developmental psychology to improve visual intelligence in humans and enhance neural network training for object recognition. She employs methodologies such as unsupervised learning, convolutional neural networks, and multimodal neural networks. Her research interests also include intuitive physics and few-shot learning, reflecting her commitment to advancing the understanding of cognitive processes in both humans and machines.