PARHAM KAZEMI
pkazemi3@gmail.com | parham-k.github.io | github.com/parham-k | linkedin.com/in/p-kazemi |
SKILLS
Software Development — Software Engineering (Agile, DevOps, CI), Programming (Python, C++, Java), Backend Web Development (Django, REST API, nginx, uWSGI), Databases (MySQL, PostgreSQL), Project Management (Git, JIRA, Trello)
Artificial Intelligence — Statistical Machine Learning, Deep Learning (Tensorflow, PyTorch, Keras), Reinforcement Learning (OpenAI Gym, Stable Baselines), Natural Language Processing (Transformers, NLTK), Signal Processing (librosa)
Bioinformatics — Genome Assembly, DNA Sequence Analysis, Nanopore Sequencing, Methylation Analysis, Single Cell Sequencing
Soft skills — Teamwork, Problem-solving, Time Management, Mentoring, Creativity, Attention to Detail, Flexibility
EXPERIENCE
Graduate Research Assistant - BC Cancer’s Genome Sciences Centre 2021 - Present
- Member of the Bioinformatics Technology Lab (birollab.ca)
- Developed tools in C++ and Python for genomics analysis
- Used machine learning and deep learning for assembly polishing and nanopore signal analysis
Backend Developer and System Administrator - University of Isfahan 2018 - 2021
- Lead developer of the University of Isfahan’s Alumni Social Website
- Deployed and maintained as a Django app on a Linux server with nginx and uwsgi
Teaching Assistant - University of Isfahan 2016 - 2020
- Fundamentals of Computer Programming (C++) and Advanced Programming (Java/C++)
- Data Structures and Algorithm Design
- Artificial Intelligence (developed a game environment for evaluating final projects)
- Technical English for Computer Engineering
EDUCATION
PhD Candidate in Bioinformatics - University of British Columbia 2021 - Present
- 1 first-author publication, 4 paper collaborations
MSc in Computer Engineering (AI) - University of Isfahan 2019 - 2021
- Thesis: Deep Reinforcement Learning for Training Intelligent Agents in Natural Language Environments
- GPA: 18.42/20
- 1 first-author publication
BSc in Computer Engineering (Software) - University of Isfahan 2015 - 2019
- Thesis: Predicting Persian Twitter Users’ MBTI Personality Using Text Mining Methods
- GPA: 18.25/20 (highest in cohort)
- Attended ICPC West Asia Regionals 2016 and 2017
- Competed in Robocup IranOpen 2D Soccer Simulation League 2017
- Finalist at the National Computer Engineering Olympiad 2019
VOLUNTARY AND EXTRACURRICULAR WORK
Volunteer Organizer - Vancouver Bioinformatics User Group (vanbug.org) 2023 - 2024
- Responsible for promoting monthly bioinformatics seminars by local and international speakers
ACM Students Chapter Member - University of Isfahan 2017 - 2019
- Coached 2 university teams at ICPC West Asia Regionals 2020
- Instructed Python and Django courses
- Assisted in technical setup for high school and undergraduate programming contests and AI challenges
PUBLICATIONS
Warren, R. L., Coombe, L., Wong, J., Kazemi, P., & Birol, I. (2024). Human ancestry inference at scale, from genomic data. bioRxiv, 2024-03.
Coombe, L., Kazemi, P., Wong, J., Birol, I., & Warren, R. L. (2024). Multi-genome synteny detection using minimizer graph mappings. bioRxiv, 2024-02.
Wong, J., Kazemi, P., Coombe, L., Warren, R. L., & Birol, I. (11 2023). aaHash: recursive amino acid sequence hashing. Bioinformatics Advances, vbad162. doi:10.1093/bioadv/vbad162
Nikolić, V., Kazemi, P., Coombe, L., Wong, J., Afshinfard, A., Chu, J., Warren, R. L., & Birol, I. (2022). btllib: A C++ library with Python interface for efficient genomic sequence processing. Journal of Open Source Software, 7(79), 4720. doi.org/10.21105/joss.04720
Kazemi, P., Wong, J., Nikolić, V., Mohamadi, H., Warren, R. L., & Birol, I. (2022). ntHash2: recursive spaced seed hashing for nucleotide sequences. Bioinformatics, 38(20), 4812–4813. doi.org/10.1093/bioinformatics/btac564
Kazemi, P., & Karshenas, H. (2021). Fuzzy Word Sense Induction and Disambiguation. IEEE Transactions on Fuzzy Systems, 30(9), 3918–3927. doi.org/10.1109/tfuzz.2021.3133905
PRESENTATIONS
Kazemi, P., Coombe, L., Warren, R. L., & Birol, I. (2024). AIEdit: Genome Assembly Polishing using Machine Learning and Spaced Seeds. Poster in BIG Research Day 24 (Vancouver, Canada)
Kazemi, P., Mohamadi, H., Chu, J., Coombe, L., Warren, R. L., & Birol, I. (2023). ntHits: streaming through raw sequencing data to profile and filter k-mers with selected multiplicities. Poster in the 13th RECOMB Satellite Conference on Biological Sequence Analysis (Istanbul, Turkey)
Kazemi, P. (2020). Natural language processing: what, how, and why. Presentation at the University of Isfahan’s Annual Research Week (Esfahan, Iran)