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Pages

About me

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Automatic classification of humpback whale social calls

Published in The Journal of the Acoustical Society of America, 2017

Note: this is an abstract within the ASA proceedings, to accompany an oral presentation; not a full article. This is a result of my 2016 REU project.

Recommended citation: Tolkova, Irina, Lisa Bauer, Antonella Wilby, Ryan Kastner, and Kerri Seger. "Automatic classification of humpback whale social calls." The Journal of the Acoustical Society of America 141, no. 5 (2017): 3605-3605.

talks

teaching

Teaching Fellow for CS182: Introduction to Artificial Intelligence

Undergraduate course, Harvard University, Computer Science, 2018

I was a teaching fellow for Harvard’s undergraduate course Computer Science 182: “Introduction to Artificial Intelligence”, which covered search algorithms, Markov models, Bayesian networks, reinforcement learning, classification problems, and motion planning for robotics. My responsibilities included teaching weekly section, developing course materials, mentoring students on final projects, and overseeing the class forum.

Head Teaching Fellow for AM22a

Undergraduate course, Harvard University, Applied Math, 2019

I was the head teaching fellow for Harvard’s undergraduate course Applied Math 22a: “Solving and Optimizing”, which covered linear algebra, multivariate calculus, and introductory optimization. My responsibilities included teaching weekly section, holding office hours, grading, overseeing the class forum, and developing course materials.