Education
Ph.D. in Computational Neuroscience
University Name
City, State
- •Focus: Computational models of neural circuits and machine learning applications
- •Advisor: Dr. Professor Name
- •Relevant Coursework: Advanced Machine Learning, Computational Neuroscience, Neural Networks
M.S. in Computer Science
University Name
City, State
- •Concentration: Artificial Intelligence and Machine Learning
- •Thesis: "Deep Learning Approaches to Neural Signal Processing"
- •GPA: 3.9/4.0
B.S. in Computer Science
University Name
City, State
- •Magna Cum Laude
- •Minor in Mathematics
- •Relevant Coursework: Data Structures, Algorithms, Statistics, Linear Algebra
Experience
Graduate Research Assistant
Computational Neuroscience Lab
University Name
- •Developing computational models of cortical microcircuits
- •Analyzing neural data using advanced machine learning techniques
- •Collaborating with experimental neuroscientists on data analysis
Research Intern
Tech Company AI Research Division
City, State
- •Implemented neural network models for brain-computer interfaces
- •Contributed to open-source machine learning libraries
- •Presented research findings at internal symposiums
Teaching Assistant
Computer Science Department
University Name
- •Assisted in Machine Learning and Data Structures courses
- •Mentored undergraduate students in research projects
- •Developed course materials and programming assignments
Skills
Programming Languages
PythonMATLABRC++JavaScriptSQL
Machine Learning
PyTorchTensorFlowScikit-learnKerasNumPyPandas
Neuroscience Tools
NEURONBrian2MNE-PythonSpike2FieldTrip
Data Analysis
JupyterGitDockerLinuxHPC Systems
Awards & Honors
Graduate Student Fellowship
University Name
2024
Best Paper Award
Student Research Conference
2023
Dean's List
University Name
2020-2022