UCLA Biodesign AI

UCLA Biodesign AI is a unique healthcare data science and innovation fellowship that is a partnership between the UCLA Department of Computation Biomedicine Data Science, the UCLA Health Office of Health Informatics and Analytics (OHIA),  and the UCLA Biodesign Program. UCLA Biodesign AI combines rigorous training in foundational data science at the intersection between AI applications in healthcare and software engineering. Through degree completion in the Data Science in Biomedicine Master’s program, the UCLA Biodesign AI Fellowship offers an exciting year-long entrepreneurial opportunity at a world-class health organization.

Health systems routinely capture vast amounts of data of many different modalities; recently, the amount and types of data have dramatically increased.  Recently developed infrastructure developed by the Office of Health Informatics and Analytics (OHIA) provides the UCLA research community access to these tremendous health data resources.  The UCLA Biodesign AI Fellowship provides trainees with the opportunity to be on the frontline of the data science revolution that is now pushing the boundaries of artificial intelligence research. Advances in machine learning have opened up new applications leveraging an increasing number of data types and sources to streamline healthcare delivery.

Trainees who are part of the program will be enrolled as enrolled students in the Data Science in Biomedicine MS program and also obtain training as UCLA Biodesign AI Fellows. They will join the annual UCLA Biodesign Fellowship cohort that also includes Discovery, Accelerator, and Translational Fellows. UCLA Biodesign AI Fellows will have the opportunity to leverage clinical and data resources at UCLA Health through clinical immersion across specialties.  Fellows will receive curated instruction during an intensive boot camp and mentorship throughout the program from industry professionals with domain expertise across the life science and technology ecosystems.  

UCLA Biodesign AI Fellows will work in collaboration with UCLA Health clinical units utilizing advanced algorithms to address a clinical problem.  UCLA Biodesign AI Fellows follow a three-stage development process that forms the cornerstone of their entrepreneurial journey: 

  1. Identify - Meaningful Clinical Opportunities
  2. Invent - Solution Development
  3. Implement - Venture Creation

Over the course of the year-long fellowship, trainees learn the fundamentals of product development – from the identification of clinical opportunities to the initiation of a new venture. The work on the clinical problem will be integrated into the Data Science in Biomedicine MS curriculum and contribute to the capstone project.

Students interested in applying for the Biodesign AI Program must complete an application to the Data Science in Biomedicine MS program in addition to filling out the application form below.

Biodesign AI Frequently Asked Questions

What is the curriculum for Biodesign AI?

Students participating in Biodesign AI as fellows are students in the Data Science in Biomedicine MS program for the year of their fellowship (Fall, Winter, and Spring). Students are encouraged to take the following courses during the year: DSB 220 Data Science in Biomedicine Supervised Project,  DSB 208, Recent Research in Machine Learning in Medicine, DSB 209 Recent Research in Data Science in Genomic Medicine.

Will I finish the Data Science in Biomedicine MS degree while I am a Biodesign AI Fellow?

Participation as a Biodesign AI fellow requires enrollment in the Data Science in Biomedicine MS program during Fall, Winter, and Spring which will complete at least 12 units in the program. The additional courses required to graduate from the program can be taken at any time. Trainees are encouraged to take advantage of the flexibility of the program to maximize their engagement with the health system during the Biodesign AI Fellowship.


Does UCLA Biodesign AI accept international students?

Yes, international students are encouraged to apply.

Are Biodesign AI Fellows funded?

All students in the Data Science in Biomedicine MS program are eligible to apply for a limited amount of financial aid.  There is no additional funding for UCLA Biodesign AI Fellows.


Do you provide office space?

Yes, office space and access to the UCLA Health Innovation Studio will be provided to UCLA Biodesign AI Fellows.


When does the UCLA Biodesign AI Fellowship begin?

UCLA Biodesign AI Fellows begin the year in early September and complete the fellowship program training in June of the following year.


Is prior experience in healthcare or the life sciences required?

No, trainees from all industries that meet the admissions requirements of the Data Science in Biomedicine MS program are encouraged.


About the Office of Health Informatics and Analytics (OHIA)

The Office of Health Informatics & Analytics (OHIA) is the data and analytics pillar of the UCLA Health Information Technology organization.  Throughout UCLA Health Sciences, OHIA works to advance the use of artificial intelligence in clinical research and patient care with its team of data scientists, health informaticists, machine learning engineers, and data architects.  To promote the responsible use of AI, OHIA operates the UCLA Health AI Council, which provides guardrails and recommendations for procuring, developing, and deploying AI solutions.  Effective use of AI in health system operations is made possible through OHIA’s cloud-enabled data platform, as well as an OHIA-led health analytics community that provides broad expertise in various disciplines and service lines across the organization.

About UCLA Biodesign

UCLA Biodesign is pioneering healthcare innovation. Uniting stakeholders across the healthcare ecosystem, UCLA Biodesign seeks to transform medicine through the development of novel technologies. Education and training are central to UCLA Biodesign’s mission. UCLA Biodesign works with industry partners and the medical community to advance solutions that deliver improved value and outcomes to patients worldwide.  UCLA Biodesign utilizes an interdisciplinary approach to assemble a team of fellows that tackle some of today’s most challenging clinical needs. Development opportunities are aimed at transformative and equitable technologies – from advanced devices to sophisticated digital therapeutics.

UCLA Biodesign AI

UCLA Biodesign AI