Curriculum vitæ

Ph.D. in Computer Science

Thesis: Robot-Assisted Language Learning in the Digital Age (working title)

Supervisors: Prof. Gabriel Skantze, Prof. Olov Engwall

Began as Early Stage Researcher in e-LADDA (MSCA ITN, EU Horizon 2020) — an EU-wide doctoral network spanning universities and companies researching child-robot interaction for language learning

Expected completion: December 2026

Member of the doctoral chapter of the student union (Dr.THS)

M.Sc. in Cognitive Science (Language and Multimodal Interaction)

Thesis: Computational Models of Lexical Acquisition — Predicting the Age of Acquisition of Different Grammatical Classes

Supervisors: Dr. Aurélie Herbelot, Dr. Afra Alishahi

M.A. in Human-Computer Interaction

B.Sc. in Computer Science

Thesis: Systems and Methods of Multi-threading in Android Operating System (Supervisor: Dr. Mahmoud Fazlali)

President of the Students' Computer Science Scientific Association (2012 – 2014)

Doctoral Researcher

Wrote and won a competitive grant of 2,000,000 SEK (Digital Futures) to build a human-AI interaction prototype platform for Swedish-language learning in SFI schools; PI Prof. Gabriel Skantze, Co-PI Dr. Ali Reza Majlesi

Leading a two-year project applying conversational AI to support adult migrant learners of Swedish

Continues the e-LADDA (MSCA ITN, EU Horizon 2020) doctoral research line brought to KTH after the Furhat Robotics secondment

Supervised 8 master's and 3 bachelor's thesis students across KTH, University of Trento, and University of Freiburg (see Supervision)

Instructor/TA for Language Engineering (DD2417) and Multimodal Interaction and Interfaces (DT2140) (see Teaching)

Representative, EECS PhD Council (2022 – 2024); Doctoral representative, TMH Computer Science Doctoral Program Council (2022 – 2024)

Webmaster, TMH division website (kth.se/is/tmh) — since 2023

Associate Researcher

Research on multimodal language learning as Early Stage Researcher within the e-LADDA (MSCA ITN) project

Research Assistant / Intern

Research assistant in Dr. Afra Alishahi and Dr. Grzegorz Chrupala's Computational Linguistics group, studying computational models of child language acquisition

Modeled word learning with an MLP neural network in an active-learning, two-agent (learner/oracle) conversational setting, showing that curiosity — formalized as subjective novelty and learning progress — improves word-learning outcomes from visual input

Resulting collaboration published as "Active Word Learning through Self-supervision" at the 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020)