Phd Candidate
CurrentMethod development for genetic analyses on single-cell data. Working with Fabian Theis, Paolo Casale, and Jakub Tomczak.
Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
Jan Engelmann is listed as Computational Biology | Deep Learning | MSc Physics ETH Zurich at Helmholtz Pioneer Campus @ Helmholtz Munich, a with 32 employees, based in Zurich, Switzerland. AeroLeads shows a matched LinkedIn profile for Jan Engelmann.
Jan Engelmann previously worked as PHD Candidate at Helmholtz Pioneer Campus @ Helmholtz Munich and Master Thesis - Uncertainty Quantification in Single-cell Genomics at Helmholtz Munich. Jan Engelmann holds Master'S Degree, Computational Physics, Quantum Computing, Cloud Dynamics from Eth Zürich.
This section adds company-level context without repeating Jan Engelmann's masked contact details.
Review company-level records connected to Jan Engelmann before choosing the right outreach path.
Jan Engelmann is a Computational Biology | Deep Learning | MSc Physics ETH Zurich at Helmholtz Pioneer Campus @ Helmholtz Munich.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Munich, Bavaria, Germany
Method development for genetic analyses on single-cell data. Working with Fabian Theis, Paolo Casale, and Jakub Tomczak.
Munich, Bavaria, Germany
Title: Uncertainty Quantification for Atlas-Level Cell Type TransferAbstract ⬇️Single-cell reference atlases are large-scale, celllevel maps that capture cellular heterogeneity within an organ using single cell genomics. Given their size and cellular diversity, these atlases serve as high-quality training data for the transfer of cell type labels to new datasets. Such label transfer, however, must be robust to domain shifts in gene expression due to measurement technique, lab specifics and more general batch effects. This requires methods that provide uncertainty estimates on the cell type predictions to ensure correct interpretation. Here, for the first time, we introduce uncertainty quantification methods for cell type classification on single-cell reference atlases. We benchmark four model classes and show that currently used models lack calibration, robustness, and actionable uncertainty scores. Furthermore, we demonstrate how models that quantify uncertainty are better suited to detect unseen cell types in the setting of atlas-level cell type transfer.
Zurich, Switzerland
- developed real time forecasting infrastructure- infrastructure for real time news article popularity forecasting using Twitter streaming data
- 4 teaching positions for elementary Physics at different levels of complexity and the philosophical aspects of these theories- Took part in course on teaching methods offered by ETHTasks:- Leading an exercise class with 20 students- Bridging the gap between theory and application of physical knowledge- Discovering the challenges and opportunities presented by E-Learning thanks to the Lockdown- Correcting student assignments- Leading group discussions- Grading student semester papersPositions:- Physics 1 for Environmental Scientists (2020)- Physics 2 for Environmental Scientists (2019)- Philosophy of Physics (2018)- Physics 2 for Physics and Mathematics Students (2017)
- Innovation project within the Digital Shapers competition initiated by McKinsey & Company - Solving a real innovation challenge for CTS Eventim focused on sustainability and festivals- Working in an interdisciplinary team on a fascinating and incredibly open challenge using the Design Thinking methodology- Bringing the result of the extensive market research to life in a Web-Application
Munich Area, Germany
- Working in an agile engineering team- Developing a SaaS solution streamlining the construction industry- Working with a Django (Python), Bootstrap (CSS), React (Javascript) tech-stack in a continuous integration environment
Erlangen Und Umgebung, Deutschland
- Developing an Edge IoT solution- Using Docker Compose to build a deployable Face recognition application storing data in the Siemens Mindsphere- Building a web interface for labelling detected faces
Munich Area, Germany
- Development of an excel model to calculate earnings according to the liquidation preference for different investments- Creating slides and 1-pagers- Research activities- Assisting both managing directors
Other employees you can reach at pioneercampus.de. View company contacts for 32 employees →
Feng L.
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichGreater Munich Metropolitan Area, Germany
View →
NT
Niels Tepho
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichMunich, Bavaria, Germany
View →
JG
Jasmine Grezzani
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichMunich, Bavaria, Germany
View →
MM
Maren Marder
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichMunich, Bavaria, Germany
View →
FT
Fabian Theis
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichGreater Munich Metropolitan Area, Germany
View →
MJ
Marion Jasnin
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichOberschleißheim, Bavaria, Germany
View →
SV
Silvia Vangelisti
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichMunich, Bavaria, Germany
View →
AP
Alina P.
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichGreater Munich Metropolitan Area, Germany
View →
ZE
Zoë E. Kentischer
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichMunich, Bavaria, Germany
View →
BS
Barbara Schroeder
Colleague at Helmholtz Pioneer Campus @ Helmholtz MunichOberschleißheim, Bavaria, Germany
View →
Quick answers generated from the profile data available on this page.
Jan Engelmann works for Helmholtz Pioneer Campus @ Helmholtz Munich.
Jan Engelmann is listed as Computational Biology | Deep Learning | MSc Physics ETH Zurich at Helmholtz Pioneer Campus @ Helmholtz Munich.
Jan Engelmann is based in Zurich, Switzerland while working with Helmholtz Pioneer Campus @ Helmholtz Munich.
Jan Engelmann has worked for Helmholtz Pioneer Campus @ Helmholtz Munich, Helmholtz Munich, Merantix Labs, Eth Zürich, and Cts Eventim Ag & Co. Kgaa.
Jan Engelmann's colleagues at Helmholtz Pioneer Campus @ Helmholtz Munich include Feng L., Niels Tepho, Jasmine Grezzani, Maren Marder, and Fabian Theis.
You can use AeroLeads to view verified contact signals for Jan Engelmann at Helmholtz Pioneer Campus @ Helmholtz Munich, including work email, phone, and LinkedIn data when available.
Jan Engelmann holds Master'S Degree, Computational Physics, Quantum Computing, Cloud Dynamics from Eth Zürich.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contactsCheck these profiles if this is not the Jan Engelmann you were looking for.