Education

Harvard University (Cambridge, MA) 2017-
Ph.D in Applied Mathematics

University of Washington (Seattle, WA) 2012-2017
B.S. in Applied Math: Engineering and Physical Sciences
B.S. in Computer Science with Honors

Research Projects

Elastic Curve And Shape Analysis

Trajectory Optimization for the Harvard Robobee

Denoising Autoencoder for Bioacoustic Applications

Robust Nonconvex Trajectory Optimization Through Iterative ADMM

Structure and Properties of Adversarial Noise

Successive Convexification for Real-time Trajectory Planning for Quadrotor Drones

Machine Learning for Humpback Whale Call Classification

Classifying Behavior States from GPS Tracking Data

Statistical Analysis of Pacific Cod Size-At-Age

Publications

Classification of animal movement behavior through residence in space and time

Torres, Leigh G., Rachael A. Orben, Irina Tolkova, and David R. Thompson. "Classification of animal movement behavior through residence in space and time." PloS one 12, no. 1 (2017): e0168513..

Automatic classification of humpback whale social calls

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.

Spatial, interannual, and generational sources of trait variability in a marine population

Ciannelli, Lorenzo, Irina Tolkova, Robert Lauth, Patricia Puerta, Thomas Helser, Alix Gitelman, and Grant Thompson. "Spatial, interannual, and generational sources of trait variability in a marine population." Ecology (2019).

Presentations

Spatial and Temporal Variation in the Size-At-Age of Pacific Cod in the Eastern Bering Sea: Implications for Sampling Strategies

September 01, 2015

Poster Presentation at Annual Science Conference by the International Council for the Exploration of the Sea, Copenhagen, Denmark

Automatic classification of humpback whale social calls

June 01, 2017

Oral presentation at Acoustic Society of America Annual Meeting, Boston, MA

Teaching

Teaching Fellow for CS182: Introduction to Artificial Intelligence

September 01, 2018

Undergraduate course at Harvard University, Computer Science,

Head Teaching Fellow for AM22a

September 01, 2019

Undergraduate course at Harvard University, Applied Math,

Awards

• Outstanding Graduating Senior (Applied Math Department, University of Washington), 2017
• Paradise Scholarship Recipient (Robinson Center for Young Scholars), 2015
• Annual Dean’s List (University of Washington), 2012-2017

Skills

• Programming languages: Python, C++, C, MATLAB, Java, R.
• Some libraries / toolsets: PyTorch, Tensorflow, ROS, Drake, SNOPT, IPOPT.
• Other: CMake, Bazel, Ubuntu, Git.