Faculty | Meridian AI

Dr. Abraham Kiptoo

About Dr. Kiptoo

Assistant Professor Abraham Kiptoo works on safe reinforcement learning — ensuring that autonomous systems don't explore their way into catastrophic failures. His constraint-satisfaction algorithms are essential infrastructure for RL in safety-critical applications.

Dr. Amara Osei-Mensah

About Dr. Osei-Mensah

Professor Amara Osei-Mensah is the founding Chair of the School of Language & Reasoning at Meridian AI. Her research on multilingual LLMs and training dynamics has shaped both the academic literature and the practical design of production language models.

Dr. Amelia Torres

About Dr. Torres

Associate Professor Amelia Torres provides the empirical grounding for discussions about AI's social impact. Her field research with real workers and firms produces data that cuts through speculation about automation and employment.

Dr. Chioma Adeyemi

About Dr. Adeyemi

Professor Chioma Adeyemi is Meridian AI's most publicly prominent faculty member, advising governments worldwide on AI regulation. Her combination of technical literacy and policy expertise makes her uniquely effective in translating between researchers and regulators.

Dr. Elena Marchetti

About Dr. Marchetti

Professor Elena Marchetti chairs the School of Applied Intelligence. Her combination of deep industry experience and rigorous research produces graduates who can deploy AI effectively in the real world, not just on benchmarks.

Dr. Elias Müller

About Dr. Müller

Associate Professor Elias Müller works on the theoretical foundations of reinforcement learning in multi-agent settings. His rigorous approach bridges game theory and modern deep RL, answering questions practitioners need answered before deploying multi-agent systems.

Dr. Fatima Al-Rashid

About Dr. Al-Rashid

Assistant Professor Fatima Al-Rashid combines an MD and a CS PhD to study AI in healthcare. Her work moves between the laboratory and the clinic, producing research that actually changes how patients are diagnosed and treated.

Dr. Ingrid Holmberg

About Dr. Holmberg

Professor Ingrid Holmberg is the theoretical conscience of Meridian AI. Her research answers the hardest questions in deep learning theory: why do overparameterized networks generalize? What do we actually know about the optimization landscape?

Dr. James Okafor

About Dr. Okafor

Associate Professor James Okafor develops technical tools for AI safety evaluation. His automated red-teaming methods have become standard practice at AI laboratories evaluating models before release.

Dr. Kwame Asante

About Dr. Asante

Associate Professor Kwame Asante studies AI alignment — the technical challenge of ensuring language models do what we actually want them to do. His work bridges the gap between theoretical alignment proposals and practical implementation.

Dr. Marcus Webb

About Dr. Webb

Associate Professor Marcus Webb studies how visual AI systems generalize — the properties that let a model trained on one task succeed on a completely different one. His work has directly shaped several influential datasets and evaluation protocols in the field.

Dr. Mei Lin

About Dr. Lin

Assistant Professor Mei Lin makes large language models small. Her quantization research enables LLM deployment on devices that cannot run 16-bit models, dramatically expanding the scenarios where AI inference is practical.

Dr. Nadia Petrov

About Dr. Petrov

Assistant Professor Nadia Petrov enables computers to see in three dimensions from flat images. Her work on dynamic Gaussian splatting has made real-time 3D reconstruction practical for the first time, with applications from robotics to virtual production.

Dr. Oluwaseun Adewale

About Dr. Adewale

Assistant Professor Oluwaseun Adewale provides the mathematical rigor that fairness discussions often lack. His research proves what is and isn't possible in fair machine learning, providing the theoretical foundation for practical governance decisions.

Dr. Priya Chakraborty

About Dr. Chakraborty

Professor Priya Chakraborty leads the Threshold Robotics Lab and chairs the School of Decision & Control. Her research on sim-to-real transfer has made physically capable robots learnable with dramatically less real-world data.

Dr. Ravi Shankar

About Dr. Shankar

Associate Professor Ravi Shankar studies optimization — the engine of machine learning. His research provides the theoretical basis for understanding why the optimizers practitioners use actually work, and when they might fail.

Dr. Sofia Navarro

About Dr. Navarro

Professor Sofia Navarro is one of the pioneers of latent diffusion modeling, now the dominant paradigm for image generation. As chair of the School of Perception & Synthesis, she brings both theoretical depth and practical engineering insight to the program.

Dr. Tariq Hassan

About Dr. Hassan

Associate Professor Tariq Hassan ensures that Meridian AI graduates know how to build ML systems that work reliably under real-world conditions. His industry background provides grounding that pure academic research often lacks.

Dr. Wei Chen

About Dr. Chen

Associate Professor Wei Chen bridges classical information retrieval and modern neural methods. His research on hybrid search and LLM-based query expansion directly informs the design of practical AI search systems like Scolta.

Dr. Yuki Tanaka

About Dr. Tanaka

Assistant Professor Yuki Tanaka focuses on making AI agents reliable enough to deploy in production. Her research addresses the practical engineering challenges that separate research agents from systems people actually use.