Courses

Graduate Courses

1. Probability Theory [Instructor; fall of 2011, 2012, 2013, 2014, 2019, 2020, 2021, 2024 TIFR-CAM] 

2. Advanced Probability [Instructor; winter 2023 TIFR-CAM]

3. Bayesian Inverse Problems (half course) [Instructor; winter 2025 TIFR-CAM]

4. Understanding Machine Learning (half course) [Instructor; winter 2025 TIFR-CAM]

5. Linear Algebra [Instructor; fall of 2015, 2016, TIFR-CAM]

6. Functional Data Analysis [with K. Podgorski Spring 2018; with H. Nassar Spring 2019, Lund University]

7. Mathematical Modelling [Spring 2012, TIFR-CAM]

8. Stochastic Processes [Tutor; 2006, 2007, Technion]

9. Gaussian Processes [Tutor; 2007, Technion]

Advanced courses

1. Malliavin Calculus [Instructor; 1 month course, 2012, IIT Bombay]

2. Gaussian Processes and geometry [Instructor; Spring 2011, TIFR-CAM]

Undergraduate Courses

1. Applied Multivariate Methods [Instructor; twice in 2018 - 2019, Lund University]

2. Business Analytics [Instructor; twice in 2018 - 2019, Lund University]

3. Introduction to Statistical Methods [Tutor; 2008 - 09, Stanford University]

4. Statistics with Economics and Business Applications [Tutor; all four quarters of 2003 - 04 at UCSB]