MOHAMMED KHODOR FIRAS AL-TAL
AI Researcher · Undergraduate · Aspiring PhD
Mohammed Al‑Tal is an undergraduate researcher in Computer Science and Applied Math at Suffolk University, passionate about AI for health, scientific discovery, and public benefit.
About
Mohammed is an Artificial Intelligence Intern at Novartis Biomedical Research Institute (NBIR), where he is working with leading experts in Computational Biology, Data Scinece and AI. His prior fellowships at MIT, Harvard, and BreakThroughTech span multi‑modal learning, biological modelling, and data‑driven health.
Beyond research, he co‑developed an open‑source legislative policy tracker and published writing on the socio‑economic impacts of AI. He founded the Computational Science & Math Association at Suffolk University and aspires to earn a PhD in AI or Computational Science.
Recent News
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Investigating Artificial Intelligence Driven Organisims (AIDO) Applications in Immunotherapy.
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Selected for "Novartis Biomedical Research Summer Internship".
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Founded the Computational Science & Math Association (CSMA) at Suffolk University.
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Presented findings on investigation of mutiple pre-trained ML imaging model(s) ,classified (Domain specific or General purpose), performance in classification and clustering of histopathology images dataset to Novartis program partners and project mentors.
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Selected to "Novartis - Imaging" team for Fall 2024 A.I Project under BreakThroughTech program.
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Helped develop Cambridge Local First (CLF) and Integrity Institute's open‑source Tech Policy Tracker.
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Completed MIT BreakThroughTech AI 9-week summer program and earned ceritifcation in A.I / M.L foundations.
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Presented findings on investigation of Uniform Manifold Approximation and Projection (UMAP) accuracy in applications of genotype diversity and clustering at Harvard T.H Chan Summer 2024 Undergraduate Summer Fellows Research Symposium.
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Published op‑ed on AI's utilization and economic impact on small local businesses (smb) in the Cambridge Day.
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Admitted to MIT BreakThroughTech AI Fellowship.
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Admitted to Harvard Biostatistics & Comp Bio summer program.
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Began tech‑policy internship at Cambridge Local First (CLF).
Selected Publications
No publications yet — currently working on multiple research projects.
Projects
Computational Pathology Retrieval Pipeline
Benchmarked PLIP, CLIP, DINO, UNI for histopathology retrieval via FAISS.
GitHub →Contact
Boston, MA · Suffolk University