Bart Deplancke

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bart.deplancke@epfl.ch +41 21 693 18 21

EPFL SV IBI-SV UPDEPLA
SV 3820 (Bâtiment SV)
Station 19
CH-1015 Lausanne

+41 21 693 18 21
Office:  SV 3823
EPFL > SV > IBI-SV > UPDEPLA

Web site:  Web site:  https://deplanckelab.epfl.ch/

EPFL SV SSV-GE
SG 1310.3 (Bâtiment SG)
Station 15
CH-1015 Lausanne

+41 21 693 18 21
Office:  SG 1310.3
EPFL > SV > SV-SSV > SSV-ENS

Web site:  Web site:  https://sv.epfl.ch/education

EPFL AVP-PGE EDBB-ENS
AAB 2 40 (Bâtiment AAB)
Station 19
CH-1015 Lausanne

+41 21 693 18 21
Office:  AAB 2 40
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDBB-ENS

+41 21 693 18 21
EHE > ASSOCIATIONS > AGEPOLY-CE > MUSICAL

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Administrative data

Teaching & PhD

Teaching

Life Sciences Engineering

PhD Programs

Doctoral Program in Biotechnology and Bioengineering

Doctoral Program in Molecular Life Sciences

Doctoral Program in Computational and Quantitative Biology

PhD Students

Ancel Sara, Economou Augoustina Maria, Ferrero Radiana, Gralak Antoni Jakub, Hashimi Horia, Kläger Amanda Barbara, Liu Wangjie, Pushkareva Olga, Rainer Pernille Yde, Sarkis Rita, Vasquez Porto Viso Jose Antonio,

Past EPFL PhD Students

Bevers Roel Paulus Josephus , Biocanin Marjan , Bou Sleiman Maroun , Bues Johannes Julius , Cajan Julia Catharina , Collodet Caterina , Dainese Riccardo , Delattre-Gubelmann Carine , Didonna Teresa , Frochaux Michael Vincent , Groux Romain Fernand Pietro , Hov Ann-Kristin , Isakova Alina , Kapopoulou Adamantia , Krier Irina , Litovchenko Maria , Llimos Aubach Gerard , Massouras Andreas , Pradhan Rachana Narendra , Scepanovic Petar , Simicevic Jovan , Waszak Sebastian Martin , Zachara Magda ,

Courses

Genetics and genomics

The theoretical part of this course covers classical genetics and contemporary genomics. Because the programming language R has become important for genomic research, the course also includes an introduction to R, followed by practical applications to genomic analyses, including a group project.

Single cell biology

The students are exposed to experimental and analytical approaches specific to single cell biology, with an emphasis on quantitative aspects.