FREEMIND is an educational program that combines coursework and mentorship activities, both of which will revolve around existing NIH-supported datasets. Participants will join a two-week synchronous course in a bootcamp format that will provide hands-on experience in technical, scientific, and practical aspects of working with NIH-supported datasets. This will be held in person at the University of California, San Diego, for two weeks in August. Similar to other UCSD bootcamps, dormitory housing on campus will be arranged for those traveling from outside of San Diego County.
The bootcamp will expose participants to a wide range of relevant techniques and include a combination of didactic lectures, hands-on tutorials, and lab exercises using programming languages such as GitHub and Python. Participants will be introduced to computational programming, FAIR data principles, machine learning, and AI. There will be training in rigor/reproducibility as well as ethics and responsible conduct of research. Social and networking activities will also be conducted to build camaraderie among the cohort and provide exposure to program faculty and investigators associated with the NIH-supported datasets. Bootcamp instructors will assign pre-reading materials to assist with preparation. It is expected that all participants will complete pre-reading materials prior to the start of the bootcamp.
If selected, this is an opportunity to gain cutting-edge training in AI/data science and exposure to NIH Common Fund datasets, without having to pay the tuition costs typically associated with similar training bootcamps. This training can confer a competitive advantage to future applications for fellowship and grant funding (e.g., K awards). For participants coming from outside of San Diego, there is funding to support travel costs and dormitory housing during the bootcamp. There is no stipend support associated with participating in this bootcamp.
To apply to the FREEMIND Program, applicants must fulfill the following requirements:
Lead faculty and instructors are from UC San Diego and CALMI (California Medical Innovations Institute). All faculty members included in the program have had extensive experience in training and mentorship and represent multiple disciplines relevant to AI, data science, and clinical domains.
Mark Christopher, PhD
Associate Professor in the Department of Ophthalmology
UC San Diego
Linda M. Zangwill, PhD
Distinguished Professor of Ophthalmology
Research Director, Hamilton Glaucoma Center,
Data Coordinating Center
Shiley Eye Institute at UC San Diego
Sally Baxter, MD, MSc
Associate Professor,
Division Chief for Ophthalmology Informatics and Data Science,
Shiley Eye Institute at UC San Diego
Bhavesh Patel, PhD
Research Professor at the Clifornia Medical Innovations Institute, CaLMI²
Virginia de Sa, PhD
Professor in the Department of Cognitive Science,
the Halıcıoğlu Data Science Institute, and the
Neurosciences Graduate Program
Halıcıoğlu Data Science Institute Associate Director
UC San Diego
Garrison Cottrell, PhD
Professor in the Department of Cognitive Science,
UC San Diego
Please email UC San Diego program coordinator Victoria Patronilo
The overall objective of the NEI Mentored Clinical Scientist Development Program Award at UCSD is to develop outstanding clinician scientists to successfully compete at the national level for NIH grants and emerge as leaders within academic Ophthalmology. Through this institutional career development award, we will mentor clinician scientists toward independent academic appointments in ophthalmology.
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