Prof. Dr. Jenna Wiens

Profil

Derzeitige StellungProfessor W-2 und Äquivalente
FachgebietKünstliche Intelligenz und Maschinelle Lernverfahren
Keywordshealthcare, machine learning, bioinformatics, artificial intelligence

Aktuelle Kontaktadresse

LandUSA
OrtAnn Arbor
Universität/InstitutionUniversity of Michigan
Institut/AbteilungDepartment of Computer Science and Engineering

Gastgeber*innen während der Förderung

Prof. Dr. Karsten BorgwardtForschungsabteilung Maschinelles Lernen und Systembiologie, Max-Planck-Institut für Biochemie, Planegg
Beginn der ersten Förderung01.02.2024

Programm(e)

2023Carl Friedrich von Siemens-Forschungspreis-Programm der Alexander von Humboldt-Stiftung

Projektbeschreibung der*des Nominierenden

Professor Wiens is a pioneer in leveraging machine learning and health data for predicting adverse outcomes or events, such as infections. Based on collaborations with dozens of clinicians and several hospital systems, she has identified key characteristics for the safe and meaningful adoption of machine learning in healthcare. This has led to new methodological contributions, impacting the fields of machine learning and AI and resulting in new solutions impacting healthcare. During her research stay in Germany, she intends to start new collaborations at the intersection of machine learning and healthcare.