Low-rank finetuning for LLMs: A fairness perspective

S. Das, M. Romanelli, C. Tran, Z. Reza, B. Kailkhura, F. Fioretto
Preprint, 2024.

Automated identification of sea pens using OpenCV and machine learning

Z. Reza† and 9 others.
Data Study Group, The Alan Turing Institute, 2023.
Published as the final report of the Data Study Group at The Alan Turing Institute in London, UK, following a week-long intensive hackathon.

PySyft: A Library for Easy Federated Learning

A. Ziller†, A. Trask†, A. Lopardo†, B. Szymkow†, B. Wagner†, E. Bluemke†, J. M. Nounahon†, J. Passerat-Palmbach†, K. Prakash†, N. Rose†, T. Ryffel†, Z. Reza†, G. Kaissis†
Springer International Publishing, 2021.
Published as a book chapter in Federated Learning Systems: Towards Next-Generation AI.

Real-time Automated Weld Quality Analysis From Ultrasonic B-scan Using Deep Learning

Reza, Zarreen Naowal
Master’s dissertation, 2019. Nominated for Governor General’s Gold Medal.
Supervised by Dr. Roman Maev and Dr. Dan Wu.

Detecting jute plant disease using image processing and machine learning

Zarreen N. Reza, Faiza Nuzhat, Nuzhat Ashraf Mahsa, Md. Haider Ali.
ICEEICT, 2016.
Orally presented in the 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).

Authenticity Analysis of Opinion and Claims made online

Zarreen N. Reza, Ruturaj R. Raval, Kaival Patel.
3rd Winner, Thales Student Innovation Championship in AI, 2018.
Ranked 3rd out of 52 student teams from universities across Canada by developing an end-to-end AI solution for fighting misinformation in online news.

Visual Relationship Detection using Deep Learning for Vision and NLP

Zarreen N. Reza†, Ashraf Neisari†, Ruturaj R. Raval†, Zeeshan Mansoor†.
Course final project, University of Windsor, 2018.

Finding Relevant Biomarkers for Prostate Cancer using Feature Selection and Dimensionality Reduction

Zarreen N. Reza, Susha Suresh.
Course final project, University of Windsor, 2018.

A Comprehensive Study of Unsupervised Feature Learning using Autoencoders

Zarreen N. Reza.
Course final project, University of Windsor, 2019.

Cancer Progression Prediction from Breast Cancer Gene Expression Data using Machine Learning

Zarreen N. Reza, Rajasi Upadhyay, Sumit Khairnar.
Course final project, University of Windsor, 2018.

Senior Applied AI Research Scientist, 2023 — Present

JACOBB – Applied Artificial Intelligence Center
Montreal, Canada

Co-Founder and Lead AI Scientist, 2021 — Present

resolutio.ai
Ottawa, Canada

Privacy-Preserving AI Researcher, open-source contributor, 2020 — Present

OpenMined
Remote, USA

AI Research Scientist, 2021 — 2023

Volta Charging, later acquired by Shell
Montreal, Canada

Data Scientist, 2019 — 2021

Thales Canada (Guavus)
Montreal, Canada

Research Assistant, 2017 — 2019

Institute of Diagnostic Imaging and Research (IDIR)
Windsor, Canada

• Course instructor and content creator of the OpenMined Private AI Series on Federated Learning using PyTorch and PySyft, funded by Meta AI, PyTorch, and the University of Oxford, with a focus on hands-on coding for privacy-preserving AI. 2021.
• Tutor of COMP-8547 (formerly 60-654) Advanced Computing Concepts at University of Windsor. 2018 – 2019.
• Graduate Teaching Assistant at the University of Windsor. 2017 – 2019.
  • – 60-256 Systems Programming
  • – 60-141 Introduction to Algorithms and Programming II
  • – 60-254 Data Structures and Algorithms
• Teaching Assistant at BRAC University. 2013 – 2016.
  • – CSE110, CSE111 Programming Language I, II
  • – CSE220 Data Structures
  • – CSE260 Digital Logic Design
  • – CSE221 Algorithms

1. Leadership Fellow, Women Who Code, Aug. 2021 – Sep. 2022.
   • Led the Data Science Track consisting of 4500+ members in organizing free events, and workshops to help women excel in STEM roles.
   • Led a team of 50+ volunteers in program designing, event planning, and building technical content for 150+ events including webinars, workshops, hands-on coding tutorials, career growth, etc.
   • Honed public speaking skills through speaking at 40+ events including annual summits and conferences.
2. Organizer
   • Organizer of WWCode Data Science Career Mentorship Program 2022, a four part workshop series attended by 340+ audiences.
   • Organizer of WWCode Machine Learning Study Group 2022, an eight part webinar series on beginner to advanced level ML concepts attended by 600+ audiences.
   • Co-organized BlockDataPy Tech Summit 2022, a one-day summit consisting of talks in blockchain, data science, and Python.
   • Co-organized WWCode Hackathon for Social Good 2022 attended by 200+ participants.
3. Judge and Reviewer
   • Reviewer, Causality and Large Models (CaLM) Workshop at NeurIPS 2024.
   • Judge and project reviewer of TigerGraph’s Graph for All Million Dollar Challenge in March 2022.
   • Judge at Windsor Regional Science, Technology, and Engineering Fair (WRSTEF) in March 2019.
4. Mentorship
   • Mentor at OpenMined Beta Bootcamp’s Tech Team, a bootcamp for Privacy-Preserving Machine Learning (PPML) from July 2020 to August 2020.
   • Mentor at Technovation Challenge, the world’s largest tech entrepreneurship program for girls from January 2018 to August 2018.

• JACOBB: Led 8-member AI team, planning and coordinating research work as sprints, ensuring timely milestone delivery.
• JACOBB: Mentored five junior AI researchers, focusing on code quality and standardization.
• OpenMined: Mentored 25 participants of the OpenMined Beta Tech Bootcamp on Privacy-Preserving ML.
• Guavus: Mentored two data scientist interns and collaborated with researchers, engineers, and the customer success team on AI model integration.
• IDIR: Trained three undergrad CS students in Python Programming and Machine Learning to succeed in their Co-op term.