Chris T.
Data Scientist | Software Developer | Professional Athlete
- Role
- Assistant Director, Data Science at Ionis Pharmaceuticals, Inc.
- Location
- San Diego, CA, US
- LinkedIn followers
- 500 followers
About Chris T.
I am a Data Scientist and Software Developer, currently working within the biotech and healthcare industry. My work as a Data Scientist has allowed me to build analysis tools that enable the identification of viable therapeutics, leading to the development of safer and more effective medicines. I specialize in software development for machine learning, cloud services, and have the skills to manage the operations of these applications through modern development operation tools.Outside of my professional career, I have over a decade of experience as a professional rugby player, and currently play for the San Diego Legion as a part-time associate player. My experience playing high-level rugby has given me the dedication, resilience, and diligence to operate as an effective team player on the field, as well as in collaborative work environments off the field. I thrive in an space where I can be challenged and pushed to grow, and where there are an endless amount of problems to be solved.KEY SKILLSPython | JavaScript | Machine Learning | SQL | NoSQL | AWS | Azure | CI/CD | Git | Software Architecture | Project Management | Process Documentation | Process Improvement
Experience
Assistant Director, Data Science
Jun 2025 — Present · Carlsbad, CA, US
Led four cross-functional product and platform teams (7 individual contributors) across research, engineering, and IT to deliver 2 enterprise scientific applications while retiring 2 legacy systems, reducing platform maintenance overhead and improving delivery velocity across research operations.• Drove adoption of standardized MLOps practices (experiment tracking, documentation, workflow orchestration), resolving long-standing collaboration and deployment bottlenecks – improving model reproducibility and traceability, reduced iteration cycles by ~25–40%, and increased production model reliability.• Modernized ML feature pipelines, correcting critical defects in a high-throughput sequence featurization service (~95× performance improvement) and deploying transformer-based RNA embeddings and molecular descriptors - reduced compute costs by >90% for key workloads and enabled support for emerging modalities and chemistries driving improved production model performance.• Owned and delivered a centralized shipment-tracking platform spanning internal teams and external CROs, replacing manual and fragmented workflows - improved end-to-end sample traceability, reduced operational handoffs and accelerated downstream analysis timelines.• Deployed a cloud-native digital pathology platform (AWS) to enable remote peer review and scalable image analysis - reduced pathology review cycle times and significantly lowering operational costs.
Education
San Diego Mesa College
Associate of Science - AS, Applied Mathematics
2015 — 2017
California State University San Marcos
Bachelor's degree, Computer Science
2017 — 2019
Skills
- Information Systems
- Microsoft Excel
- Apple Numbers
- Apple Keynote
- Rugby
- Phpmyadmin
- Running
- Microsoft Word
- Business
- Organizing
- Work Rate
- Pdo
- Java Programming
- Php
- New Business Opportunities
- Communication
- Apple Pages
- C Programming
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