Lindsey Brown
PhD Candidate, Applied Mathematics
John A. Paulson School of Engineering and Applied Sciences
Harvard University
Research
My research focuses on the use of different mathematical techniques, including both continuous differential equation based models and more discrete machine learning techniques, to explore biological systems, including those involved in the development of circadian rhythms and post traumatic stress disorder. Through these techniques, my work aims to analyze the differences in behavior of normal and disordered biological systems in order to better understand the development of these disorders.
Education
S.M. Applied Mathematics, Harvard University, 2018
B.S. Mathematics, Duke University, 2016
Contact
lindsey_brown (at) g (dot) harvard (dot) edu
Publications
Compensating for Sensor Error in the Model Predictive Control of Circadian Clock Phase
Lindsey S. Brown, Elizabeth B. Klerman, & Francis J. Doyle III. 2019. IEEE Control Systems Letters, 3 (4).
Lindsey S. Brown, Elizabeth B. Klerman, & Francis J. Doyle III. 2019. IEEE Control Systems Letters, 3 (4).
