Ann Arbor, Michigan, United States
I’m a computational AI scientist working at Geminus, focused on bringing physics-informed machine learning into real industry problems. After finishing my PhD in Aerospace Engineering and Scientific Computing at Michigan—where I spent a lot of time on tensor decompositions and compression for big datasets—I wanted to get out of the purely academic space and work on solutions that actually get used. Now, I build AI models that help energy, manufacturing, and other industries make decisions faster and more efficiently, using a mix of physical simulation and ML. My interests range from scientific machine learning (SciML) to large-scale data, model reduction, and operational AI. I enjoy projects where technical rigor has a clear, visible impact—especially when it pulls together ideas from different fields. If you’re interested in the practical side of AI or want to connect over shared research interests, feel free to reach out.
- Working at Computational Autonomy Group under Department of Aerospace Engineering towards a PhD degree. - Collaborating with internal and external partners on research projects - Leading a cross-university research team of graduate and and undergraduate student to develop a framework for behavioral cloning using multi-modal data streams Key deliverables: - Delivered 10+ invited talks at influential international conferences. - Published 3 journal publications at peer reviewed Q1 journals. - Developed and implemented incremental tensor decomposition algorithms for scientific machine learning. - Mentored 2 master's students and 1 undergraduate student in research setting. - Developed an open source Python package leveraging NumPy and CuPy packages.
Worked as a member of the Barton Research Group (BRG) under Department of Mechanical Engineering. Key deliverables: -Designed and manufactured a measurement system in light of the literature review on metrology of additive manufacturing systems. -Developed a control model for Fused Deposition Modeling (FDM) processes using polylactic acid (PLA) as build material. - Published and presented the work ”A Control Oriented Model for Bead Cross-Sectional Geometry in Fused Deposition Modeling” at American Control Conference 2020.
*Observation of national and international system and type approval procedures *Design of an interface enabling standardization and automation during ECE-R51 noise tests *Specialization on ECE-R51 (noise), ECE-R121 (lighting) approvals and the compliance of the products to the certification taken *Development consulting for local and international projects *Assurance of coordination between German and Turkish homologation teams
*Concept design and cost analysis of a front axle mounting unit for Tourismo's shock absorber and suspension system *Study of various manufacturing techniques used in the automotive industry *Benchmarking and analysis
*Study of various manufacturing techniques used in the aerospace industry. *Detailed observation and hands on experience of "Resin Transfer Molding (RTM)" manufacturing method. *Observation of testing composite materials *Design of a mandrel extraction machine which will be used in the production line of RTM department and exploration of junkyard to minimize cost by finding neccesary structures. *Observation of tool design for RTM manufacturing method