Personal Image
Ph.D Student in Applied Mathematics
Machine Learning
DMS - Université de Montréal
MILA - Québec AI Institute
IVADO - Institut de valorisation des données
linkedin.com/in/amine-natik
amine.natik@umontreal.ca
github/amine-natik
scholar.google.com/amine-natik
About me

I am a PhD student at the DMS (Département de Mathématiques et de Statistique) at the University of Montreal, a core member at MILA (Montreal Institute of Learning Algorithms), and a PhD fellow of IVADO (Institut de valorisation des données). Co-supervised by Guillaume Lajoie and Guy Wolf, I received my M.Sc at the University of Ottawa in Probability Theory under the supervision of Aaron Smith.

Research Interests

Currently I am interested in understanding the information encoded in the hidden layers of trained deep neural networks accomplishing complex tasks. I am using tools from manifold learning, graph signal processing, representation learning and dynamical systems. I am also interested in research at the intersection of AI and Neuroscience.

Education
PhD in Applied Mathematics
University of Montreal — MILA Montreal, Canada
Thesis: Spatial and spectral properties of neural network connectivity
and their impact on learned representations.
(2019 — Present)
MSc in Mathematics
University of Ottawa Ottawa, Canada
Thesis: Network analysis; Consistency of the spectral seriation algorithm (2017 — 2019)
BSc in Mathematics
Faculté des Sciences de Rabat Rabat, Morocco
Thesis: Mathematical Models for Cancer Growth. (2015 — 2017)
Teaching
Lecturer, UdeM:
  • Winter 2022: MAT1919 - Concepts mathématiques en neuroscience cognitive
  • Fall 2021: MAT1680 - Calcul symbolique et applications
  • Fall 2021: MAT1681 - Mathématiques assistées par ordinateur
  • Winter 2021: MAT1681 - Mathématiques assistées par ordinateur
Teaching Assistant, UdeM:
  • Summer 2021: MAT1000 - Analyse 1
  • Fall 2020: STT1903 - Initiation à la statistique.
  • Winter 2020: STT3795 - Theoretical foundation of data science.
  • Fall 2019: MAT1400 - Calcul 1.
Teaching Assistant, uOttawa:
  • (2017 - 2019) TA for: MAT1700, MAT1702, MAT1720, MAT1722, MAT1730, MAT1732, MAT1741, MAT1318, MAT2775.
  • (2017 - 2019) employed at Mathematics and Statistics Help Center.
Instructor, Mathematical Olympiad:
  • President of Math&Maroc Association (2019 - 2021) — Coaching the Moroccan olympiad team in Algebra, Number theory, Combinatorics and Geometry.
Awards
IVADO PhD Excellence Scholarship (2020 - 2024)
  • A prestigious scholarship given to the best students in Montréal doing research in the field of Data Science.
Doctoral Research Microsoft Diversity Award (2021-2022)
  • The Microsoft Diversity Fund seeks to promote diversity, equity and inclusion within the field of AI.
Académie Hassan II Des Sciences Et Techniques Scholarship (2014-2023)
  • A prestigious scholarship given to the top 2 Moroccan students in the 'Concours Général des Sciences et Techniques' contest.
International Competiton for University Students 2016
  • Third Prize - Bronze medal.
International Mathematical Olympiad 2014
  • Honorable mention.
Publication