Education

Doctor of Philosophy in Computer Science and Engineering from the University at Buffalo. Expected June 2028
Master of Science in Computer Science and Engineering from the University at Buffalo (SUNY). June 2024.
Bachelor of Arts in Cognitive Systems (Cognition and Brain Stream) with a minor in Psychology from the University of British Columbia. May 2022.

Graduate Level	Undergraduate Level
CSE 521: Operating Systems	CPSC 210: Software Construction
CSE 531: Analysis of Algorithms	CPSC 221: Basic Algorithms and Data Structures
CSE 560: Data Models and Query Languages	CPSC 368: Databases in Data Science
CSE 565: Computer Security	CPSC 322: Introduction to Artificial Intelligence
CSE 567: Computational Linguistics	CPSC 330: Applied Machine Learning
CSE 587: Computational Investment	CPSC 312: Functional and Logical Programming
CSE 589: Modern Network Concepts	COGS 300: Understanding and Designing Cognitive Systems
CSE 667: Advanced Topics in Computational Linguistics	COGS 402: Research in Cognitive Systems
CSE 709: Selected Topics on Biometrics and User Identification	PSYC 336: Psychology of Language

Further Learning

Applied Data Science with Python Specialization. University of Michigan via Coursera.
- Learning and practicing skills such as data manipulation, querying, and visualizations, as well as text mining and social media analytics
Mathematics for Machine Learning Specialization. Imperial College London via Coursera.
- Covering three important mathematical areas for Machine Learning: Linear Algebra, Multivariate Calculus, and Principal Component Analysis (PCA)

Machine Learning Specialization, Stanford University and DeepLearning.AI via Coursera. Completed August 7, 2024. View Certificate
- Learned about both supervised and unsupervised machine learning techniques such as linear and logistic regression, decision trees, neural networks, clustering systems and reinforcement learning techniques
- Implemented several algorithms in python using tensorflow