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Kristian Hammond

C3 Director, Bill and Cathy Osborn Professor of Computer Science

Expertise:
I build systems that give machines human capabilities, turning raw data into the narratives and conversations people need to make sense of it. My work also examines the safety, transparency, and ethics of machine intelligence, and how AI is reshaping work, journalism, law, and education.
Email:
Kristian.Hammond@northwestern.edu
Website:
Faculty Page
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Mohammed Alam

Assistant Professor of Instruction, Deputy Director of MSAI

Expertise:
Email:
Website:
mohammedalam.weebly.com
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Cameron Barrie

PhD Candidate

Expertise:
I work on conversational systems that help non-technical users derive insights about their data.
Email:
cameron.barrie@u.northwestern.edu
Website:
barrieca.github.io
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Donna Hooshmand

PhD Candidate

Expertise:
I develop human-centered AI systems that help domain experts teach models and make reliable decisions when labeled data is scarce. My work spans interactive foundation models for retinal imaging and neurosymbolic tools that turn complex datasets into accessible, machine-readable knowledge.
Email:
donna.hooshmand@northwestern.edu
Website:
donnahooshmand.com
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Harper Pack

Research Associate

Expertise:
Email:
harper.pack@northwestern.edu
Website:
LinkedIn
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Shubham Shahi

PhD Student

Expertise:
Working in Generative & Agentic AI Systems, Applied AI in Data Semantics & EdTech along with Human-AI Interaction.
Email:
shubham.shahi@northwestern.edu
Website:
LinkedIn
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Marko Sterbentz

PhD Candidate

Expertise:
My research advances AI systems’ ability to reason over structured data. This work spans neurosymbolic reasoning and planning techniques for answering questions and generating contextualized reports, the creation of high-quality synthetic training data, and improved reinforcement learning techniques that strengthen large language models’ tabular reasoning capabilities.
Email:
marko.sterbentz@u.northwestern.edu
Website:
markosterbentz.com
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Aryan Dwivedi

MSAI Student

Expertise:
My work explores adaptive and efficient machine learning through curriculum learning, state-space models, and CLIP-style vision-language architectures. I study multimodal representation learning and resource-aware inference to build scalable, reliable AI systems.
Email:
aryandwivedi2026@u.northwestern.edu
Website:
LinkedIn

Alumni

  • Sergio Servantez (Ph.D. 2026)
  • Alexander Einarsson
  • Abhratanu Dutta (Postdoc 2023-2025)
  • Kevin Cushing (MS CS 2025)
  • Andong Luis Li Zhao
  • Andrew Paley
  • Vamsi Banda (MSAI 2020)