Ellison Institute Internship in Applied AI and Analytics

The Ellison Institute of Technology (EIT), located in Los Angeles, researches and deploys advanced technology in pursuit of solving some of humanity’s most challenging and enduring problems in medical science and healthcare. This computational-biology internship will span (1) data analysis and exploration, (2) development of more responsive and representative models,  and (3) pipeline/workflow development. Because Ellison has so many research pathways, the specific biological and computational tasks of this internship will conform to the needs and interests of both intern(s) and lab(s). For sure, the path will be primarily computational, i.e., Applied AI and Analytics, motivated by and applied to current investigations in molecular biology and bioinformatics. (Note: This summer-internship opportunity will also be posted in mid-January. All applications, to both calls, will be decided by March. EIT may contact early applicants in Dec./Jan.)

Name of research group, project, or lab
EIT Los Angeles: Applied AI and Analytics
Why join this research group or lab?

This project will deepen and broaden the skillsets of students interested in using computational tools, including last decade's and next decade's AI workflows, to open problems in computational biology. This project is part of an ongoing shift in expectations about the toolsets by which biological inquiries are pursued. In the "optional essay" part of the application, feel free to share your thoughts on how computing might be used in the natural sciences in, say, 2030. Prof. Naim Matasci will serve as the leader of this project. (Prof. Dodds is an on-campus contact on behalf of Prof. Matasci.)

Representative publication
Logistics Information:
Project categories
Biology
Computer Science
Mathematics
Student ranks applicable
Sophomore
Junior
Senior
Student qualifications

A foundation for success in this project includes both statistical and computing backgrounds, including computational experience at or beyond the level of cs70. Experiential confidence in building, testing, and deploying traditional ML/AI workflows and especially strong grounding in molecular biology/bioinformatics are a particular plus. 

Time commitment
Summer - Full Time
Compensation
Paid Research
Number of openings
2
Techniques learned

Interns will develop further confidence, experience, skill, and perspective in applying computing and modeling techniques to natural-science inquiries. For this opportunity, the tasks are primarily molecular/computational biology. The techniques developed will also overlap with other specialties. 

Project start
Negotiable, summer 2025
Contact Information:
Mentor
dodds@hmc.edu
Mentor
Name of project director or principal investigator
Naim Matasci
Email address of project director or principal investigator
education@eit.org
2 sp. | 0 appl.
Hours per week
Summer - Full Time
Project categories
Mathematics (+2)
BiologyComputer ScienceMathematics