Experience
• Implemented mass segmentation for mammography images using convolutional neural networks (CNNs) and U-Net architecture, achieving precise and accurate segmentation results.
• Leveraged Python and PyTorch to implement and train deep learning models, optimizing performance metrics such as Dice coefficient for segmentation tasks.
RA at Artificial Intelligence Research Lab
Developed and implemented efficient algorithms using linear programming with Gurobi for fair solutions in one-to-one matching markets, focusing on optimization and efficiency.
Compared the performance of Nash stable matching algorithm against traditional approaches in one to one matching markets.
Instructorship Experience
Taught the Statistical Foundations for Econometrics course to undergraduate students.
Taught Introductory Macroeconomics course to undergraduate students in summer school.
Teaching Assistantship Experience
Fall 2024 : ECON 417, Economics of Uncertainty, Pennsylvania State University.
Spring 2024 : ECON 102, Introductory Microeconomics, Pennsylvania State University.
Fall 2023 : ECON 102, Introductory Microeconomics, Pennsylvania State University.
Spring 2023 : ECON 402 , Decision Making and Strategy in Economics, Pennsylvania State University.
Fall 2022 : ECON 502, Microeconomic Analysis (Master Course), Pennsylvania State University.
Spring 2021 : ECON 104, Introductory Macroeconomic Analysis and Policy , Pennsylvania State University.
Fall 2020 : ECON 104, Introductory Macroeconomic Analysis and Policy, Pennsylvania State University.