Software Engineering Leader
NATASHA
SINGH
I build the data and AI infrastructure that helps oncologists piece together medical timelines for children with brain tumors.
COMPLEXITY
WITH CARE.
A sick child's medical history is a puzzle scattered across clinics, labs, and specialists and sequencing centers. Finding better treatments or cures means bringing those puzzle pieces together
I build the systems that do that at scale. We integrate multi-modal data-genomics, imaging, clinical notes and architect the AI agents and workflows that can extract and interpret all brain tumor related variables.
But scale is nothing without trust. We design infrastructure that respects consent, enforces strict governance, and protects the most sensitive data in the world. Taking an ambiguous problem and shipping a platform that didn't exist yesterday is what I love to do.
Selected Projects
01 — 04Current Focus
AI Patient
Chronicle
Leading 0-to-1 architecture for a clinical AI platform extracting temporal brain tumor variables from EHR, clinical notes, imaging, and genomics. Replacing fragmented manual workflows with a cohesive pipeline that produces structured timelines for multidisciplinary tumor board review. Collaboration across CHOP, Seattle Children's, and Children's Hospital of LA.
Strategic Expansion
ARPA-H Pediatric
Care Expansion
Directing the architectural strategy for a $50M+ project building a centralized, multi-modal data hub. This ambitious undertaking unifies EHR, genomic, and imaging data, scaling real-time data acquisition infrastructure from 3 to 200 hospitals, fundamentally changing how pediatric care data is accessed for brain tumor patients.
Infrastructure
Children's Brain
Tumor Network
The Children's Brain Tumor Network (CBTN) required a significant modernization of its genomic data transfer pipelines. I led the architectural overhaul that now executes secure petabyte-scale data transfer and validation across 35 institutions, eliminating operational bottlenecks and reducing production failures by nearly 100%.
National Resource
NIH Kids First
Data Resource
Architected the authoritative clinical and genomic data layer for over 100K+ patients. By designing a standardized ingestion library and QC tooling layer, we reduced the time-to-ingest per research study from multiple days to 1 day, dramatically accelerating study onboarding velocity.
Experience & Education
Children's Hospital of Philadelphia
2017 — Present
Leading zero-to-one engineering initiatives for clinical AI and data platforms. Building teams that partner deeply with researchers and clinicians, fostering a culture of ownership where we never lose sight of the people at the end of the data pipeline.
Lockheed Martin
2009 — 2017
Spearheaded product lifecycle and technical vision for high-visibility applications, driving adoption and securing multi-million dollar R&D funding. Honed systems engineering rigor in zero-failure environments.
Education
Continuing Education
ByteByteGo AI Engineering Course
Maven Problem-First AI Engineering Course
Cornell University
Bsc Electrical & Computer Engineering
MEng Systems Engineering
Lockheed Martin
Engineering Leadership Development Program