At Caltech
BE/Bi 103 a: Introduction to data analysis in the biological sciences
Fall 2023 | Fall 2022 | Fall 2021 | Fall 2020 | Fall 2019
BE/EE/MedE 189a: Design and construction of biodevices
Fall 2023 | Fall 2022 | Fall 2021 | Fall 2020 | Fall 2019 | Fall 2018 | Fall 2017 | Winter 2017
BE/Bi 103 b: Statistical inference in the biological sciences
Winter 2024 | Winter 2022 | Winter 2021 | Winter 2020
BE/Bi 25: Biophysical Chemistry
Winter 2024 | Winter 2023 | Winter 2022
Bi 1x: The great ideas of biology: Exploration through experimentation
Spring 2024 | Spring 2023 | Spring 2022 | Spring 2021 | Spring 2020 | Spring 2019 | Spring 2018 | Spring 2017 | Spring 2016 | Spring 2015 | Spring 2014
BE 150/Bi 250b: Design principles of genetic circuits (with M. Elowitz)
Spring 2024 | Spring 2023 | Spring 2022 | Spring 2021 | Spring 2020 | Spring 2019 | Spring 2018 | Spring 2017 | Spring 2016 | Spring 2015
BE/Bi/NB 203: Intro. to programming for the bio. sciences bootcamp
Summer 2024 | Summer 2023 | Summer 2022 | Summer 2021 | Summer 2020 | Summer 2019 | Summer 2018 | Summer 2017 | Summer 2016 | Summer 2015
BE/Bi/APh 161: Physical biology of the cell
Winter 2023 | Winter 2019 | Winter 2018 | Winter 2016 | Winter 2014
ChE/BE 163: Introduction to biomolecular engineering
Fall 2021 (with N. Pierce) | Winter 2018 (with N. Pierce) | Fall 2016 (with F. Arnold) | Fall 2014 (with F. Arnold)
BE 159: Signal transduction and mechanics in morphogenesis
Winter 2021 | Winter 2020 | Winter 2019 | Winter 2018 | Winter 2017 | Winter 2016 | Winter 2015 | Winter 2014
Freshman Summer Research Institute Intro. to programming bootcamp
BE/Bi 101: Order of Magnitude Biology (with R. Phillips)
BE/Bi 103: Data analysis in the biological sciences
Fall 2018 | Fall 2017 | Fall 2016 | Fall 2015 | Fall 2014
Extramural
Intro. to computing in the bio. sciences bootcamp, EPFL
Summer 2023 | Summer 2022 | Summer 2019 | Summer 2018 (with S. Saladi)
Intro. to stat. inference in physical biology, Physics of Life, Dresden
DataFramed podcast
I was a frequent guest on the DataFramed podcast. Following are segments I have recorded.
Season 1, 2018
Plot all your data (22:55)
Swarm plots and jitter plots (17:45)
Empirical cumulative distribution functions (ECDFs) (23:55)
Reproducible pipelines (24:25)
Plotting on a log scale (37:25)
The Bernoulli distribution (17:00)
The Binomial distribution (19:30)
The Poisson distribution (27:00)
The Exponential distribution (20:00)
The Geometric and Gamma distributions (24:00)
Season 2, 2019
Gaussian distribution part 1 (36:00)
Gaussian distribution part 2 (39:38)
Case Studies in Statistical Thinking with DataCamp
released September 2017
Statistical Thinking in Python (part 2) with DataCamp
released December 2016
Statistical Thinking in Python (part 1) with DataCamp
released November 2016
MBL Physiology Course (Matlab bootcamp with H. Garcia & J. Boedicker)
Summer 2016