Teaching

Course Development & Teaching

CSCI 5526: Machine Learning for Healthcare (UMN)

This course introduces students to a range of healthcare problems that can be tackled using ML, different health data modalities, relevant machine learning paradigms, and the unique challenges presented by healthcare applications.

CSCI 5521: Machine Learning Fundamentals (UMN)

This is an introductory machine learning class. This course introduces students to different types of machine learning algorithms, their mathematical underpinnings, practical intuitions, and sample applications.

BIOE 485: Computational Mathematics for Machine Learning and Medical Imaging (UIUC)

Developed and taught this course as part of the new MS in Biomedical Image Computing degree program. This course covers probability theory, linear algebra, numerical optimization, and an introduction to learning and inference.

BIOE 488: Applied High-performance Computing for Medical Imaging (UIUC)

Developed and taught this course as part of the new MS in Biomedical Image Computing degree program. This course consists of an equal number of lectures and labs, where the lectures cover basic concepts of Python programming, coding practices, computer architecture, high-performance computing using heterogeneous hardware (e.g., CPU and GPU), Tensorflow, and a brief introduction to machine learning, and the labs focus on providing practical programming examples on each of those topics.

Professional Certificate Program

A certificate course on artificial intelligence for clinicians - AI in Medicine.

Contributions include preparing lecture notes, powerpoint presentations, quizzes, and computer assignments.

Teaching Assistantship

Fall 2016 - ECE 313: Probability with Engineering Applications with Prof. Ravi Iyer

Duties included preparing lecture notes, home work assignments, programming assignments, and examinations, grading, holding office hours, and giving lectures occasionally. I was selected as a ranked excellent graduate teaching assistant by students.

Fall 2015 - CS 425/ECE 428: Distributed Systems with Prof. Nitin Vaidya

Duties included preparing lecture notes, home work assignments, programming assignments, and examinations, grading, and holding office hours. I was again selected as a ranked excellent graduate teaching assistant by students.