courses

Courses taken

• CMSC858A - Concentration Inequalities for Randomized Algorithms and Machine Learning (Fall ‘24)
• CMSC764 - Advanced Numerical Optimization (Spring ‘24)
• CMSC742 - Algorithms in Machine Learning: Guarantees and Analyses (Fall ‘23)
• ENEE662 - Convex Optimization (Fall ‘23)
• ENEE621 - Estimation and Detection Theory (Spring ‘23)
• ENEE627 - Information Theory (Spring ‘23)
• ENEE620 - Random Processes in Communication and Control (Fall ‘22)
• ENEE630 - Advanced Digital Signal Processing (Fall ‘22)

Courses taught (TA)

• ENEE621 - Estimation and Detection Theory (Spring ‘25)
• ENEE324 - Engineering Probability (Spring ‘25, Fall ‘23, Spring ‘22)
• ENEE436 - Foundations of Machine Learning (Fall ‘23)
• ENEE420 - Communication Systems (Fall ‘22)