Image Processing & Computer Vision: Designed and developed algorithms for segmentation and detection of small changes in noisy time-series brain imaging data; optimized feature extraction for astrocyte calcium event detection.

Big Data Handling: Experience with large-scale parameter searches on High-Performance Computing (HPC) systems, managing complex data sets in neuroscience research.

Neuroscience Research: Led and contributed to multidisciplinary research teams applying advanced imaging techniques (e.g., two-photon microscopy, sCMOS) to study brain activity and visual representations in the brain.

Scientific Communication: Proven track record of publishing in prestigious journals, mentoring students, and delivering invited talks at national and international conferences.

Algorithm Development: Built custom algorithms for automated detection of astrocytes and neurons in 3D image stacks and brain-state classification using unsupervised learning.

Grant Management & Leadership: Managed NIH-funded projects ($250,000/year); led cross-functional teams, including PhDs and students, ensuring high-impact research outcomes.

Technical Expertise in Imaging Systems: Designed and integrated custom imaging systems (reflectance-based, NIR illumination, optical design) for studying brain responses.

Research Leadership: Extensive experience leading and mentoring research teams, managing projects, and securing funding for neuroscience research.

Advanced Statistical Methods: Expert in statistical modeling, data evaluation, and probability, with teaching experience in advanced engineering courses.

Patents & Innovations: Holder of a US patent for noise reduction in imaging data (Patent No. 8,903,192).

Cross-disciplinary Collaboration: Worked with diverse teams, applying both neuroscience and data science methodologies to study complex systems like the brain.