Home CV
CV
Cancel

CV

Education

1
2

2019 - 2026 Ph.D. in Computer Science , Simon Fraser University , Burnaby, BC, Canada.
2016 - 2019 M.Sc. in Computer Science , University of Tehran , Tehran, Iran.

Experiences

1
2
3
4

Nov 2025 - Present, Machine learning Research Engineer at RBC Borealis, Vancouver, Canada
Jan 2023 - Sep 2023, Machine Learning Reserch Intern at Terramera, Vancouver, Canada
Jul 2015 - Dec 2017, Software Engineer at ToMan Payments, Tehran, Iran
Aug 2013 - Dec 2017,  Software Engineer at Zoraq, Tehran, Iran

Publications and Manuscripts

  • A. Khoeini, Sh. Peng, M. Ester, “Informed Augmentation Selection Improves Tabular Contrastive Learning”, 2025, PAKDD

  • A. Khoeini, F. Sar, Y. Lin, C. Collins, M. Ester, “scMUSCL: Multi-Source Transfer Learning for Clustering scRNA-seq Data”, 2025, Bioinformatics

  • A. Khoeini, O. Snow, A. Rozek, M. Ester, “Label Efficient Plant Damage Estimation Using Pixel-Level”, preprint

  • A. Khoeini, S. Haratizadeh, E. Hoseinzade, “Representation Extraction and Deep Neural Recommendation for Collaborative Filtering”, 2019, preprint available at arxiv.org

  • E Hoseinzade, S. Haratizadeh, A. Khoeini, “HT-CNNpred: CNN-based Stock Market Prediction Using Hierarchy Training and Universal Predictor”, 2020, preprint available at arxiv.org

Skills

Research Interests

1

DL for Tabular Data, Self-supervised Learning, Causal Learning, LLMs

Programming Languages

1

Python, Java

Tools

1

PyTorch, Keras, Git, Spark

Honors and Awards

1
2
3
4

Sep 2019 - Aug 2022 Recipient of Graduate Fellowship for four years in a row at Simon Fraser University, Canada.
Aug 2018 Full scholarship for Deep Learning summer school, University of Tehran, Iran.
Aug 2016 Placed 4th among over 1200 applicants to the National Graduate Entrance Examination
(Konkour) in Computer Science, Iran.

Volunteering

1

Apr 2021 - May 2021 **Stanford University, Section Leader, Code in Place

Member of the teaching team for Code In Place. This online course was offered by Stanford University during the COVID-19 pandemic. It brought together 12,000 students and 1100 volunteer teachers participating from around the world. The course is a 6-week introduction to Python programming using materials from the first half of Stanford’s CS106A course.

Interests

1

Photography, Running, Backpacking, Blogging
Recent Update