Manas K. Email & Phone Number

San Francisco, Ca, Us

South San Francisco, California, United States

Accountable for the Imaging Algorithm Development (IAD) product. IAD’s design, deployment, orchestration, and productization capabilities enable Roche research stakeholders to leverage AI/ML to expedite clinical, diagnostic, and biomarker studies with more precise results.◆ Responsible for ~$2M budget and leading a 16-member cross-functional team supporting clinical, disease insight-gathering, and diagnostics use-cases for R&D stakeholders◆ Created the Common Algorithm Framework Ecosystem (CAFE), a self-service application with reusable pipeline creation, regulatory compliance, and study reproducibility features; in three months of uptime, CAFE has served as the backbone of AI/ML-assisted image annotation campaigns for lung cancer research, and enabled productization and validation of lesion detection/analysis tools on clinical data◆ Leveraged CAFE to build AI/ML-assisted image annotation and feature extraction workflows intended to expedite blood cancer clinical trials and enhance the precision of biomarker research◆ Delivered standard operating procedures and self-service capabilities for stakeholders to turn imaging research and ML models into modular, reusable algorithm products, eliminating future re-work and enabling accessibility of said products◆ Delivered reusable AI/ML pipeline for automated cancer lesion segmentation, feature extraction, and disease severity scoring, intended to expedite oncology clinical trials (auto-Total Metabolic Tumor Volume, and auto-Lugano algorithms)​

South San Francisco, California, United States

Accountable for vendor management, stakeholder management, business analysis, and solution architecture, and delivered imaging platform features and deep learning image analysis pipelines.◆ Analyzed business needs and delivered dataset harmonization applications and productized algorithms for expediting clinical trials, enhancing the precision of biomarker research, and supporting the creation of oncology diagnostic tools◆ Analyzed business needs and designed Federated Learning platform integrating two vendor solutions to enable secure and efficient collaboration between Roche, hospitals, and clinical research organizations to enable new multiple sclerosis research on more diverse and comprehensive datasets◆ Conducted vendor evaluation and established new foundational infrastructure to enable ophthalmology clinical trial and disease insight-gathering deep learning workflows◆ Managed key technology vendor to reduce cost overhead and optimize subsequent feature deliveries​

San Francisco Bay Area

Accountable for developing AI/ML algorithms for medical image analysis and for collaborating with stakeholders to produce study outcomes◆ Collaborated with stakeholders to prototype imaging platform features for biomarker research and lesion segmentation capabilities, enabling more precise oncology and ophthalmology treatments◆ Developed medical image harmonization/analysis products for data scientist stakeholders, enabling oncology and ophthalmology studies on clinical data◆ Trained ML model to identify protected health information in medical images and created clinical image anonymization pipelines◆ Established DevOps standards for Python development team​

San Francisco Bay Area

◆ Delivered developer console with attached prototype business/HR workflow creation engine◆ Delivered GUI for no-code drag-and-drop creation and execution of business/HR workflows​

Santa Monica, California

◆ Developed prototype AR hospital procedure assistant with Google Glass◆ Presented business assessments for other prototypes on proprietary platforms​

Computer Science, Computer Science

Activities and Societies: Society of Women Engineers Daily Bruin Newspaper UCLA Sailing Team

Education record