Manos Theodosis
PhD candidate, Computer Science
CRISP Lab, Harvard University
Curriculum Vitae (Updated Feb 2022)


I am a third year PhD student in Computer Science at Harvard University, advised by Demba Ba. My research interests revolve around deep learning, mathematics, and optimization. I'm particularly interested in representations, geometry and topology, and dynamics in deep learning. During the summer of 2021 I interned at Amazon where I had the pleasure to be hosted by Karim Helwani. I finished my undergraduate studies at the National Technical University of Athens in Greece, where I conducted my thesis in tropical geometry under the supervision of Petros Maragos.

As a first-generation student, I'm passionate about providing help and guidance to people who have no access to it. This led to the creation of a mentoring initiative, along with the amazing Konstantinos Kallas, that intends to help people applying for PhD programs in Computer Science or engineering fields. If you need a listening ear, I'm always happy to share a piece of my mind, even if it's unrelated to PhD applications.

I collect quotes, enjoy video games, national parks, photography, and TV shows and movies (you can find me on trakt).


Aug 2021
May 2021
Dec 2020
May 2020
Mar 2020
Feb 2020
Jan 2020
Aug 2019

Received an Amazon Post-internship Fellowship.
Received the A.G. Leventis Scholarship.
Interned as an Applied Scientist Intern at Amazon.
Received a Certificate of Distinction in Teaching.
Received the Gerondelis Foundation Scholarship.
Received the Robert L. Wallace Prize Fellowship.
Served as a judge at MakeHarvard 2020.
Two papers got accepted at ICASSP2020.
Started PhD in Computer Science at Harvard University.

Conference proceedings

  1. Maragos P., Theodosis E.
    "Multivariate tropical regression and piecewise-linear surface fitting"
    International Conference on Acoustics, Speech, and Signal Processing, 2020
  2. Retsinas G., Filntisis P., Efthymiou N., Theodosis E., Zlatintsi A., Maragos P.
    "Person identification using deep convolutional neural networks on short-term signals from wearable sensors"
    International Conference on Acoustics, Speech, and Signal Processing, 2020
  3. Theodosis E., Maragos P.
    "Tropical modeling of weighted transducers algorithms on graphs"
    International Conference on Acoustics, Speech, and Signal Processing, 2019
  4. Theodosis E., Maragos P.
    "Analysis of the viterbi algorithm using tropical algebra and geometry"
    International Workshop on Signal Processing Advances in Wireless Communications, 2018
Journal articles
  1. Maragos P., Charisopoulos V., Theodosis E.
    "Tropical Geometry and Machine Learning"
    Proceedings of the IEEE, vol. 109, no. 5, pp. 728-755, 2021
Book chapters
  1. Maragos P, Theodosis E.
    "Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices"
    In Shape Analysis: Euclidean, Discrete, and Algebraic Geometric Methods, edited by M. Breuss, A. Bruckstein, C. Kiselman, and P. Maragos, Springer, to appear
  1. Theodosis E., Tolooshams B., Tankala P., Tasissa A., Ba D.
    "On the convergence of group-sparse autoencoders"
    arXiv, 2021
  2. Tasissa A., Theodosis E., Tolooshams B., Ba D.
    "Towards improving discriminative reconstruction via simultaneous dense and sparse coding"
    arXiv, 2020
  3. Theodosis E., Maragos P.
    "A robust adaptive pruning algorithm based on tropical geometry"
    arXiv, 2019


  1. Tropical mathematics (and why you should care)
    CRISP lab, 2019