Samira Abnar
Machin Learning Researcher at Apple
Sunnyvale, California, United States
Summary
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Senior🎓
Top SchoolSamira Abnar is a machine learning researcher and PhD candidate at the Institute for Logic, Language and Computation, University of Amsterdam, with 11 years of experience bridging ML, cognitive science and neuroscience to study human language abilities. She develops artificial neural models that simulate language invention, learning, and cross-modal relations such as language-vision interactions, and has held research roles at Google and a researcher position at Apple. Her academic trajectory (MSc and BSc in Computer Software Engineering from University of Tehran) and long-running PhD reflect deep expertise in computational linguistics and cognitive modeling. Samira combines rigorous experimental work with engineering experience from early backend development, enabling both theoretical insight and practical implementation. Based in Sunnyvale, she pairs a research-driven career with creative pursuits in music and painting—currently learning piano with the long-term goal of teaching senior learners. An interdisciplinary thinker, she often explores how language emerges from broader cognitive systems rather than as an isolated faculty.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Language and Cognition, Doctor of Philosophy (Ph.D.), Language and Cognition at University of AmsterdamMaster's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at University of Tehran
English, Azerbaijani, Persian, Dutch
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
pytorch7
deep-learning7
brain-computer-interface6
semantics6
relational-algebra5
computational-neuroscience5
electrophysiology4
nlp4
neuroscience4
machine-learning3
bioinformatics3
sequence3
sequence-to-sequence1
tensorflow1
datasets1
Programming languages (3)
Github contributions (5)
samiraabnar/Reflect
Sep 2019 - Jun 2020
Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
Contributions:1757 commits, 2 PRs, 43 pushes in 8 months
pytorchdistillationknowledge-distillationinductive-biasesknowledge
samiraabnar/tensor2tensor
May 2018 - Jun 2019
Contributions:149 pushes in 1 year 1 month
sequencesequence-modelssequence-to-sequence-modelsbioinformaticssequence-to-sequence
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