Meet the team
Adversarial Testing & Risk Evaluation
The Adversarial Testing & Risk Evaluation team works at the intersection of AI research and enterprise security, assessing and addressing AI-specific risks across the platform. From attack pathway discovery to contextual guardrails and red-teaming benchmarks, they work to make agent behavior robust, and resistant to adversarial manipulation.
Marc-Etienne Brunet
Research Lead
Pierre-André Noël
Research Scientist
Kiarash Mohammadi
Applied Research Scientist
Mihir Bansal
Machine Learning Engineer
Yanick Chénard
AI Developer
Vaibhav Singh
Visiting Researcher
Alireza Mousavi-Hosseini
Visiting Researcher
David Dobre
Visiting Researcher
Ya-Shi Zhang
Visiting Researcher
Agentic Harness & Defenses
The Agentic Harness & Defenses team builds defenses that keep autonomous agents safe and secure as they act. Through policy enforcement and harness-level controls, we anticipate and mitigate compositional risks, cascading failures, coordinated attacks and turn safety research into deployable controls that make enterprise agents trustworthy.
Spandana Gella
Research Lead
Valentina Zantedeschi
Research Scientist
Abhay Puri
Applied Research Scientist
Tianyi Chen
Applied Research Scientist
Miguel Muñoz-Mármol
AI Developer
Yihong Tang
Visiting Researcher
Shubham Gupta
Visiting Researcher
Léo Boisvert
Visiting Researcher
Alexander Gurung
Visiting Researcher
Manveer Singh Tamber
Visiting Researcher
Agent Contextualization
The Agent Contextualization team aims to enable intelligent communication across the computational and human parts of AI-augmented systems so the whole improves, not just the parts. We build mechanisms for context acquisition and reuse, and we work to close the loops connecting agent evaluation and agent improvement.
Sébastien Paquet
Research Lead
Issam H. Laradji
Research Scientist
Christian Hudon
Research Architect
Chris Tyler
AI Developer
Daniel Tremblay
AI Developer
Tawkat Islam Khondaker
Visiting Researcher
AI Research Partnerships & Ecosystem
The AI Research Partnerships & Ecosystem team works at the intersection of research, industry, and academia, building the external and internal connections that amplify ServiceNow’s AI research impact. From monitoring the venture landscape and fostering university partnerships to aligning with internal product teams, they ensure that great research finds its way into the right hands.
Chris Manning
Research Advisor
Stefano Ermon
Research Advisor
Christopher Pal
Distinguished Scientist
Siva Reddy
Research Scientist
Masih Aminbeidokhti
Visiting Researcher
Xing Han Lu
Visiting Researcher
Aristides Milios
Visiting Researcher
Gandharv Patil
Visiting Researcher
Tomás Vergara Browne
Visiting Researcher
Yongjin Yang
Visiting Researcher
AI Research Enablement
The AI Research Enablement team is here to make research happen. We work alongside researchers to remove friction, surface the right information at the right time, and create the conditions where great work can move faster. We make research in a corporate environment easier to navigate, and we bring our own thinking to how we do it, continuously looking for better ways to connect people, knowledge, and momentum across the team.
Marie-Eve Marchand
Manager of Research Enablement
Fanny Rancourt
Visiting Researcher Supervisor
AI Research Leadership
The ServiceNow AI Research Leadership sets the strategic direction for the team, defines research priorities, and creates the conditions for rigorous, impactful work. They connect the team’s efforts to the broader mission of ServiceNow while ensuring researchers have the support, clarity, and resources they need to do their best work.
Valérie Bécaert
VP of AI Research
Alexandre Drouin
Head of Frontier AI Research
