Teaching
Academic Instruction
​
​
My love of teaching scientific coursework is obvious in that I've served as a university teaching assistant for six different courses:
-
Pitt CHEM 0310: Organic Chemistry 1 (2014)
-
Pitt BIOENG 1320: Biosignals and Systems (2017)
-
Pitt BIOENG 1586: Quantitative Systems Neuroscience (2018)
-
CMU 18690: Introduction to Neuroscience for Engineers (2019)
-
Gave guest lecture on reward processing in the brain
-
-
CMU 42631: Neural Data Analysis (2019)
-
Gave guest lecture on the "anatomy of a neuron"
-
-
CMU 42302: Biomedical Engineering Systems Modeling and Analysis (2020)
​
I was honored to be awarded the 2020-21 Graduate Student Teacher of the Year award by the Carnegie Mellon University Biomedical Engineering department. See the student testimonials to the below - they're some of the best emails I've received!
There are few things I enjoy as much as watching someone have that moment of clarity, when a concept is properly taught to them and it just clicks - and me being the one who makes it click!
Impromptu explanation of the Fourier transform to a group of Biosignals and Systems students after a BMES student body meeting in 2017. Somehow this is the only picture I have of me teaching... and you can't read the board's contents.
Non-Academic Settings
A snippet from the desktop CNC tutorial I wrote for the BioBuild Makerspace in Pitt's Benedum Engineering Hall from 2017
A quick organic chemistry concept example I wrote for an email to a student in 2016
My love of teaching is definitely not relegated to the college classroom.
Over the years, I've also taught:
-
Taekwondo to students aged 4-64 (2009 - 2014)
-
Biology and engineering concepts in >100 hours of outreach programs in the local Pittsburgh area
-
Desktop CNC machine use and safety (2017 - 2018)
-
Everything from alkyne reduction to circuit reduction to dimensionality reduction in 1-on-1 sessions
​
I'm always looking for new teaching opportunities and better ways to explain tough concepts!