Mete Mahammad Ismayilzada

About Me

I am currently a Ph.D. student at EPFL advised by prof.Antoine Bosselut at the NLP lab and a Research Assistant at IDIAP supervised by prof.Lonneke van der Plas at the Computation, Cognition and Language group.

Previously, I completed my MSc. in Data Science at EPFL where I did research on commonsense reasoning. In the past, I have been a software/ML engineer, co-founder/entrepreneur and have 5+ years of experience in areas ranging from semiconductors to AI. I am also a proud University of Waterloo alumnus where I finished my Bachelor’s in Computer Science.

Research Interests

My interests broadly lie within the nature of robust artificial intelligence, language, cognitive science and mind. Currently, my research focuses on computational creativity. I am in addition exploring neurosymbolic AI, reasoning, compositionality, abstraction/analogy, linguistically motivated NLP and knowledge-driven, cognitive-model-based AI.

Publications

  1. DiffuCOMET: Contextual Commonsense Knowledge Diffusion
    Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
    Preprint
    [paper]

  2. CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks
    Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut
    EMNLP Main 2023 (Oral)
    [paper] [website]

  3. REFINER: Reasoning Feedback on Intermediate Representations
    Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
    EACL 2024
    [paper]

  4. δ-CAUSAL: Exploring Defeasibility in Causal Reasoning
    Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings
    Preprint 2023
    [paper]

  5. kogito: A Commonsense Knowledge Inference Toolkit.
    Mete Ismayilzada, Antoine Bosselut.
    EACL System Demonstrations Track, 2023 (Poster)
    [paper] [code] [docs]

Education

  1. Ph.D in Computer Science. EPFL. Lausanne, Switzerland. 2023-Present.
  2. Master’s in Data Science. EPFL. Lausanne, Switzerland. 2021-2023.
  3. Bachelor’s in Computer Science. University of Waterloo. Waterloo, Canada. 2012-2016.

Research Experience

  1. Research Assistant. IDIAP. Martigny, Switzerland. 2023-Present.
  2. Research Assistant. Artificial Intelligence Lab. EPFL. Fall 2022.
  3. Research Intern. Sony Inc. Tokyo, Japan. Summer 2022.

Teaching Experience

  1. Teaching Assistant. Modern NLP. EPFL. Spring 2024.
  2. Student Teaching Assistant. Modern NLP. EPFL. Spring 2023.
  3. Student Teaching Assistant. Applied Data Analysis. EPFL. Fall 2022.

Engineering Experience

  1. Software/ML Engineer. integrate.ai. Toronto, Canada. 2019-2021.
  2. Co-founder/CTO. Destin AI. Toronto, Canada. 2017-2019.
  3. Software Engineer. Bluecat Networks. Toronto, Canada. 2017-2018.
  4. Software Engineer. Cisco Systems. Ottawa, Canada. 2016-2017.
  5. Software Engineer Intern. Freescale Semiconductors. Ottawa, Canada. Summer 2015.
  6. Software Developer Intern. TD Securities. Toronto, Canada. Summer 2014.
  7. Software Developer Intern. Azercell MMC. Baku, Azerbaijan. Summer 2013.

Service

  1. Reviewer. ACL ARR. 2024.
  2. Volunteer. Perspectives on AI Symposiums. IDIAP. Feb 2024.
  3. Reviewer. EACL Student Research Workshop. Jan 2024.

Projects

  1. Parrot. Educational toolkit for interaction with OpenAI models. [code]
  2. Mini-Pytorch. From scratch implementation of (mini) pytorch autograd and several core modules. [code]
  3. Words and Personalities. Personality analysis based on quotes. [demo] [code]
  4. Differentially Private Random Forest Classifier. [code]

Blogposts

  1. From Words to Vectors. Towards Data Science. Medium. [link]

Hobbies

In my free time, I like to read, bike, play piano and watch (usually long) international art films.

Contact

  1. mismayilza [at] gmail [dot] com
  2. github
  3. linkedin

Fin