Principal Data Scientist at Roche (2016-present)

At Roche, I've been pushing the boundaries of technology by creating innovative processes and algorithms with AI, enabling the development of disruptive next-generation sequencing technology.

Key Achievements

AI Leadership & Innovation

Leading colleagues across multiple divisions to create optimal operations, procedures, and tools for responsible AI use
Pioneering division's efforts in effective and safe Generative AI implementation
Awarded 2023 Creator-Event hackathon 2nd place for AI management tools
Awarded 2023 Roche Internal Entrepreneur Grant for genetics-focused foundation models

Technology Development

Coordinating interdisciplinary teams for product milestones involving:
- Biochemistry
- Materials science
- Robotics
- High-volume time series data
- AI/ML processing algorithms
Established ML experiment organization procedures
Developed multi-repository documentation system
Created essential traditional ML algorithms (HMMs) for milestone achievements

Foundation Models for Genomics

Currently helping create foundation language models for genetics and proteins to:

Predict protein structures and functions from sequences
Identify genetic patterns indicating disease risk
Enable personalized medicine approaches
Accelerate drug discovery and development

AI Governance & Management

Leading early identification and procurement of platforms for company-wide AI management:

Establishing responsible AI development frameworks
Ensuring regulatory compliance
Creating systems for AI asset management
Implementing ethical standards

Impact

My work at Roche focuses on:

Advancing genomic medicine capabilities
Enabling more efficient drug development
Establishing responsible AI practices
Preventing information loss in healthcare
Improving disease understanding and treatment

Through these efforts, I'm helping create a future where healthcare is more precise, accessible, and effective through the responsible application of AI and advanced genomic technologies.