Graduate School of health and Medical Sciences

Hackathon - Application of machine learning in biomedical research
Provider: Faculty of Health and Medical Sciences

Activity no.: 3927-23-00-00
	Enrollment deadline: 27/04/2023

Date and time	08.05.2023, at: 09:00 - 12.05.2023, at: 17:00
Regular seats	32
Course fee	3,000.00 kr.
Lecturers	Ruth Loos
ECTS credits	4.00

Contact person	Ulla Kløve Jakobsen E-mail address: ulla.jakobsen@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration SUND E-mail address: phdkursus@sund.ku.dk

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member universities. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from NorDoc member universities. After the enrollment deadline, available seats will be allocated to applicants on the waiting list. Learning objectives A student who has met the objectives of the course will be able to: 1. Apply existing machine learning skills to biological and medical datasets 2. Understand important caviates and pitfalls when analysing biological and medical data 3. Understand which evaluation and performance metrics to use 4. Work one-to-one with field experts to address questions impactfully 5. Disseminate the project results in a technical report Content Hackathon - Application of machine learning in biomedical research (4 days) Day 1 Presentation of data available for hackathon Days 2 to 4 Project work Daily report & discussion Day 5 Final presentations Report writing After the course: Submission of final report. Participants Skills in machine learning using either Python or R are required. Students should be familiar with the split-train-test paradigm and be able to follow it (or other flavors) using a variety of model classes. Knowledge of neural nets / language models / or other recent advances in AI are not required. We may discuss the advantages and disadvantages of these methods but there is likely too little time to implement them in any meaningful way - feel free to try. Please review learning outcomes from the optional 5-day course Introduction to machine learning in biomedical research to further understand requirements for this hackathon. The course is scheduled before this hackathon for those who need a refresher or are willing to learn at pace. PhD students enrolled at the Graduate School of Health and Medical Sciences and postdocs at specific Centers/Departments with some experience in Python programming. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: - All graduate programmes Language English Form Lectures, seminars, group work, discussions, exercises, project work. Course director Ruth Loos, Professor, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, ruth.loos@sund.ku.dk Cameron MacPherson, Snr. Scientific Project Manager in Biomedicine, Institut Roche, Paris, cameron.macpherson@roche.com Teachers Cameron MacPherson, Snr. Scientific Project Manager in Biomedicine, Institut Roche, Paris, cameron.macpherson@roche.com Ramtin Marandi, Postdoctoral Researcher, CHIP Centre of Excellence for Health, Immunity and Infections - Rigshospitalet Thomas Moritz, Professor, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen Tune H Pers, Associate Professor, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen Mani Arumugam, Associate Professor, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen Dates Hackathon - hands-on projects May 8, 9, 10, 11, 12, 2023 Course location PANUM Maersk Tower Blegdamsvej 3B, 2200 Copenhagen Floor 15, room 7.15.149 May 8-11, 2023 Floor 15, room 7.15.152 May 12, 2023 Registration Please register before April 27, 2023 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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