Ashot Matevosyan

Contact me

Areas of Expertise

  • Mathematics: probability, stochastic processes, statistics, analysis, optimization,
  • Physics: non-equilibrium statistical mechanics, biological physics, physical chemistry,
  • Computer science: machine learning, algorithms, data structures, molecular dynamics,
  • Software engineering: high performance/scientific computing, parallelization.

Education

Cambridge, Trinity College

Master's degree, Mathematics

Oct 2021 – June 2022

Cambridge, UK

Probability, Stochastic Processes, Information theory and Statistics.

Distinction from Part III exams (GPA 4.0/4.0 equivalent).

Cambridge, Trinity College

Bachelor's degree, Natural Sciences

Oct 2018 – June 2021

Cambridge, UK

Major: Theoretical physics,

Minor: Mathematics, Physical Chemistry, Biology of Cells,

First Class from Tripos examinations (GPA 4.0/4.0 equivalent).

Experience

Nov 2022 – present

Dresden, Germany

  • Non-equilibrium statistical mechanics, Stochastic processes
  • Biological physics, Active matter
  • Theory and Simulations

PhD supervisor Dr. Ricard Alert

Jun 2021 – Sep 2021

Göttingen, Germany

  • Active Brownian motion, path integral approach.

supervisor Dr. Benoît Mahault

Jun 2020 – June 2022

Yerevan, Armenia

  • Magnetobiology, Biological physics
  • Non-equilibrium thermodynamics for rotating systems,
  • 3 publications in Q1 journals.

supervisor Prof. Armen Allahverdyan

YerevaNN research lab

Research Internship in ML

Jul 2019 – Sep 2019

Yerevan, Armenia

  • Information theory in machine learning
  • heart disease (Brugada) prediction, ECG data analysis,
  • invariant representations: a method to prevent overfitting,
  • 95% accuracy on a dataset of 300 people.
  • collaboration with St George’s Hospital, London, UK

HiLearn

Machine Learning Scientist

Sep 2017 – Aug 2018

Yerevan, Armenia

  • Designing and implementing trading algorithms on cryptocurrency markets,
  • Simulation of financial instruments for risk management.
  • Deforestation detection with unsupervised learning, using satellite images.

Armenian Code Academy

Machine Learning Internship

Mar 2017 – Aug 2017

Yerevan, Armenia

Classical ML, NLP, TSA, reinforcement learning, Bayesian inference, probabilistic graphical models.

Physics teacher at "Quantum" College

Physics club for students

Sep 2016 – Jun 2018

Yerevan, Armenia

Trained high school students for the national and international physics competitions.

June 2023 – present

Yerevan, Armenia

Publications

Conferences

Awards

  • President’s PhD scholarships, Imperial College London, 2021, London, UK
    declined offer
  • Cambridge Trust scholarship, 2018, Cambridge, UK
    Trinity International Bursaries, 2018, Cambridge, UK
    full scolarship for studying in Cambridge
  • ACM-ICPC NEERC Regional 2016, Finalist, Tbilisi, Georgia
  • International Physics Olympiad, Silver medal, 2016, Zurich, Switzerland
  • International Olympiad of Astronomy and Astrophysics, Bronze medal, 2016, Bhubaneswar, India
  • International Zhautikov Olympiad, Gold medal, 2016, Almaty, Kazakhstan
  • Armenian President’s Prize, A prize for contribution in IT sphere, 2015, Yerevan, Armenia
  • International Olympiad of Informatics, participation, 2016, Kazan, Russia
  • International Physics Olympiad, Bronze medal, 2015, Mumbai, India

Computers Skils

C, C++, Python, Wolfram Mathematica, R, Stan, git, bash

Scientific computing, Parallel computing, High-performance computing (HPC)

Algorithms and Data Structures

Deep learning, unsupervised learning, Probabilistic Graphical models

Data analysis, SQL and non-SQL databases

Languages

English

Armenian

Russian

German (A2)