CSE290: Life in Code🌿

Instructors:
Melissa Gymrek mgymrek@ucsd.edu
Alon Goren agoren@ucsd.edu
Graham McVicker gmcvicker@salk.edu
Hannah Carter hkcarter@health.ucsd.edu

TAs:
David Laub dlaub@ucsd.edu
Adam Klie aklie@eng.ucsd.edu
Kiki Spaulding kspaulding@ucsd.edu

Lectures: Wednesdays 12-1:30pm at CNCB Large Conference Room

Mission Statement

Bring together a vibrant and collaborative community across bioinformatics, computer science, genomics and related fields to exchange ideas on important problems in medical and basic research.

Course Description

This seminar is intended for trainees to discuss and present their research in bioinformatics, computer science, genomics, statistics, systems biology, medical/population genetics, and related fields. Presenters are encouraged to emphasize work leveraging machine learning and other computational techniques. Occasionally, external speakers will be invited to present.

Prerequisites

There are no prerequisites for this course, besides an interest in the topics mentioned above!

Course Objectives

• Gain an understanding of the fundamental concepts, methodologies, and computational techniques used in the fields of bioinformatics, computer science, genomics, statistics, systems biology, medical/population genetics, and related fields 
• Identify opportunities to connect novel computational approaches across domains for innovative problem-solving.
• Learn about evolving research trends and methodologies.
• Engage in thoughtful discussions, provide constructive feedback, and foster an environment of intellectual exchange and growth.
• Recognize and address ethical considerations inherent to new technologies and biomedical research.
• Develop the skills to synthesize complex research findings and communicate them in a clear, concise, and accessible manner to audiences with diverse academic backgrounds (presenters).

Course Structure

• Each meeting a different lab will host and can sign up here: https://tinyurl.com/ekwaa8nb
• At meetings, typically the PI of the hosting lab will give a concise introduction to the topic (around 20 minutes at most). This will be followed by presentations from trainees. Trainee talks can comprise a single 45-minute talk or two distinct talks, each ranging from 20-25 minutes. Following presentations, a dedicated period will be allocated for questions and open discussion.

Grading

This is a 1 unit course. Please do not sign up for more than 1 unit. Grading is S/U. In-person attendance will be taken and is required to pass the course. Please email a TA or course instructor if you need to miss a class (only one unexcused absence will be allowed).

Disclaimer

While we have every intention of following this syllabus, any information here is subject to change. See the course policies page for additional information.