MohammadAbolnejadian

Now: Applied AI Scientist · Verily Master’s CS HCI · UWaterloo
Previously: B.Sc. Computer Engineering · Sharif University of Technology

Based in Ontario, Canada

Mohammad builds AI tools that help people make sense of complex information and make informed decisions.

At Waterloo, he explores how AI can support decisions during conversations. At Verily, he helps build healthcare AI agents whose answers can be traced back to evidence.

His work brings research, engineering, and interface design together—from an early question to a working system, and an understanding of how people use it.

Lately

Experience

IndustryAcademia

Current

Verily

Applied AI Scientist

Research and engineering on healthcare AI agents.
Building systems with evidence that people can follow from an answer back to its source.

2025–now

University of Waterloo

Graduate Research Engineer (Human-Centered AI)

Research in the CS HCI lab connects retrieval, speech processing, and information visualization.
Developed AInsight, connecting speech processing and retrieval with an interface for expert decision-making.

Explore AInsight Explore InsightToast

2023

TEIAS

Research Assistant

Developed a learning platform for personalized, in-situ support for introductory programming.
Evaluated the platform in work published in CHI 2024 Extended Abstracts.

Read the case study

2022–23

Cafe Bazaar

Software Engineer

Worked on an established in-app payment platform and API migrations.
Developed a gift-card storefront backend using Django, REST, gRPC, PostgreSQL, and Docker.

2021–22

Pezhvak AI

Full Stack Developer

Gathered stakeholder requirements and prototyped interfaces.
Developed cross-platform demonstrations of machine-learning models.

Teaching, mentoring & service

Teaching assistant at Waterloo and Sharif, across more than ten computer science courses. 2020–present.
Graduate student representative, School of Computer Science Council. 2025–present.
Mentor, Women in Mathematics Directed Reading Program at Waterloo. January–April 2026.

Recent work

All work

InsightToast

UIST ’26 · Forthcoming

A meeting companion that brings source-grounded text and glanceable visualizations into the flow of a conversation.

Paper Code Demo

AInsight

CUI ’25

A research prototype that surfaces relevant historical data during doctor–patient conversations, keeping practitioners in charge of the decision.

Paper Code

DistilKaggleNotebooks, distilled.

DistilKaggle

MSR ’24

A distilled corpus of Kaggle notebooks and code metrics that makes computational work easier to study at scale.

Paper Code Dataset

Publications

Google Scholar

2026

InsightToast: Proactive Information Retrieval & Glanceable Visualization in the Side Channel of Data-Rich Meetings UIST ’26 · Forthcoming

Mohammad Abolnejadian, Matthew Brehmer

Paper Project Code Demo

2025

AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data CUI ’25

Mohammad Abolnejadian, Shakiba Amirshahi, Matthew Brehmer, Anamaria Crisan

Paper Project Code

MoTiCPS: Energy Optimization on Multi-Objective Task Scheduling in IoT-Integrated Cyber-Physical Systems IEEE Transactions on Sustainable Computing · 10(4), 744–755

Abolfazl Younesi, Elyas Oustad, Mohammad Abolnejadian, Mohsen Ansari, Alireza Ejlali

Paper

2024

DistilKaggle: A Distilled Dataset of Kaggle Jupyter Notebooks MSR ’24

Mojtaba Mostafavi Ghahfarokhi, Arash Asgari, Mohammad Abolnejadian, Abbas Heydarnoori

Paper Project Code Dataset

Leveraging ChatGPT for Adaptive Learning through Personalized Prompt-based Instruction: A CS1 Education Case Study CHI EA ’24 · Case study

Mohammad Abolnejadian, Sharareh Alipour, Kamyar Taeb

Paper

2018

Cyrus 2D Simulation Team Description Paper 2018 RoboCup 2018 · Team description paper

Nader Zare, Mohsen Sadeghipour, Ashkan Keshavarzi, Mahtab Sarvmeili, Amin Nikanjam, Reza Aghayari, Arad Firouzkoohi, Mohammad Abolnejad, Sina Elahimanesh, Amin Akhgari

Paper

Notes along the way

All notes

No notes published yet. Check back soon.