Speaker Biography: Stefan is a PhD candidate at the University of Bern, where his research focuses on quantitative and genomic analyses to identify genetic variants influencing hoof and leg traits in Swiss dairy cattle. Stefan holds a Master’s degree in Agricultural Sciences from ETH Zürich, with a major in animal science and minors in data science and plant breeding. 

Stefan gained experience in data analysis through an internship at Swissgenetics, where he worked on cattle embryo datasets. He conducted genomic analyses during his Master’s thesis in collaboration with Qualitas AG, focusing on the genetic architecture of milk urea content in Swiss cattle. In addition, Stefan gained hands-on experience through genetics-related laboratory work within the Molecular Plant Breeding group at ETH Zürich, as well as solid statistical knowledge through involvement in the teaching of applied statistics. 

Information to attend: To join this seminar, please ensure you have downloaded the Microsoft Teams application to your computer or join the meeting online using the web browser version of Microsoft Teams. Please join the meeting with your microphone on mute and the camera turned off. After the presentation, you can unmute the microphone, and optionally turn on the camera, if you wish to ask a question. Alternatively, if you wish to pose your question in the chat function, the presenter will answer questions made through the chat.    

Teams link to attend:   

https://teams.microsoft.com/dl/launcher/launcher.html?url=%2F_%23%2Fl%2Fmeetup-join%2F19%3Ameeting_MThkM2YzZmMtZjQxZi00YWNhLThkYTEtMzcyNTNmYTEyZmM3%40thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%2522be62a12b-2cad-49a1-a5fa-85f4f3156a7d%2522%252c%2522Oid%2522%253a%2522522551ba-0e93-4d61-8464-d782a9e7306d%2522%257d%26anon%3Dtrue&type=meetup-join&deeplinkId=12901c70-4ea2-4716-bcd7-65f98a13fa18&directDl=true&msLaunch=true&enableMobilePage=true&suppressPrompt=true [1] 

*Recordings of previous CGIL seminars are available at: https://www.youtube.com/channel/UCAQ_5WCTMRQ6Gs35yROqGIQ/featured    [2]  

________________________________________________________________________________