Key Contributions:- Set the vision and strategy for AI initiatives within the lab and effectively communicate the resource requirements and roadmap to cross-functional teams and executive leadership.- Spearhead and support successful AI project implementation outcomes with external software and systems engineering collaborators for enhancement of internal 300+ RadTech workflows.- Lead and develop cutting-edge GPU-accelerated deep learning models to enable medical image segmentation & disease identification for clinical support.- Lead and mentor junior AI scientists to enable accelerated model deployment and clinical impact.Technologies: Supervised learning, CNN, ViTs, Diffusion Models, MONAI Framework

Key Contributions: - Develop machine learning methods in oncology for disease identification and patient stratification using multi-modal data.- Predictive modeling to support clinical trials.- Led external collaborations with CROs for in-house biomedical imaging data analysis.- Provided inter-departmental technical expertise on end-to-end ML model development and deployment.

Key Contributions: - Led and built novel and cutting-edge deep learning image segmentation models using radiology images for robust radiation therapy planning.- Reduced patient’s contouring time from 1 hour to ~10 seconds with > 85% as-is acceptability.- Fostered and enabled code sharing and technical partnership impacting 10+ project developments.- Provided scientific direction for ML applicability and adoption across medical physics, radiology, oncology & pathology departments.- Cross-collaboration with diverse experts in biology, data science, medicine and engineering. - Mentored 3 machine learning engineers for clinical deployment.- Took ownership of scientific projects and publications, generating multi-million dollar funding.Technologies: Supervised learning, self-supervised and unsupervised learning, Transfer learning, GANs, Transformers, LSTMs for series analysis.Conferences & Workshop presentations:AAPM Image Segmentation Panel, July 2021AAPM AI in Imaging, July 2020MICCAI, Oct 2019MIDL, July 2019AAPM AI in Imaging, July 2019AAPM Image Segmentation: CT, July 2018AAPM, July 2017

Key Contributions:- Led Phd students for product design and extension of my phd AI framework developing a lumbar spine segmentation and CAD framework.

Key Contributions:- Successfully segmented the lumbar spine vertebrae and intervertebral discs (healthy and pathological) from multi-modal CT and MRI images with < 1 mm accuracy.- Awarded state grant based on my research, resulting in $400,000 funding and growth opportunities.Conference and Workshop proceedings/presentations:MICCAI, Oct 2015Computer Assisted Radiology and Surgery (CARS), July 2015MSVE Conference, March 2015Recent advances in computational methods, MICCAI, Oct 2014ICPR, 2014MSVE Conference, 2014CSI workshop, MICCAI, 2013MSVE Conference, 2013

Key Contributions:- Generated and maintained the online inventory in Oracle Application Express (APEX) and SQL database.- Optimized e-commerce ordering analytics product utilized by 500 employees in international offices.

Key Contributions:Developed and maintained mailing CmaF mailing system

Key Contributions:- Teaching Assistant for graduate system architecture, network and security system classes.