Muhammad Ali Haidar, PhD

At Freie Universität Berlin, I lead research into how structural “blueprints” in the brain drive individual behavioral traits. By designing robust assays for visual and non-visual responses in D. melanogaster, I link circuit-level wiring to specific sleep and activity patterns. I bridge the gap between biology and data by developing reproducible Python and R pipelines for high-dimensional analysis.

I participated in the end-to-end development of a digital health platform designed to bridge medical information gaps for marginalized communities in Lebanon. By merging qualitative user research with technical project oversight, I translated complex community needs into a culturally sensitive, AI-driven resource—delivering a high-impact product within a strict six-month development and funding cycle.

I investigated novel therapeutic candidates for Traumatic Brain Injury (TBI), specifically focusing on how drug intervention can mitigate oxidative stress and secondary inflammatory pathways. By combining microsurgery and molecular analysis with a comprehensive battery of behavioral assays, I mapped the recovery of memory and learning paradigms post-treatment. This work culminated in a peer-reviewed publication, where I led the data visualization and mechanistic analysis of neuroprotective effects.

At the height of the pandemic, I served on the front lines of Lebanon national diagnostic effort, processing high-volume samples for all international arrivals. I managed the full molecular workflow—from manual and automated RNA extraction to RT-qPCR—within a high-throughput environment. My focus was on maintaining 100% diagnostic accuracy and streamlining intake workflows to ensure rapid turnaround times under intense national pressure.