Sugiyama-Badr Laboratory

Philipp Samuel Zuercher

Project Researcher

Mail: zuercher(at)pse.t.u-tokyo.ac.jp (Replace (at) with @.)

Tel: 26876 (Add the last 4 digits to +81-3-5841.)

Short C.V.

2022–

Project Researcher, The University of Tokyo

2019–2022

Doctoral Course, The University of Tokyo

2018–2019

Assistant Scientist, Merck KGaA, Switzerland

2018

Internship, DataHow AG, Switzerland

2017–2019

Master of Science Chemical and Bioengineering, ETH Zurich, Switzerland

2016–2017

Internship Roche, Switzerland

2013–2016

Bachelor of Science Chemical Engineering, ETH Zurich, Switzerland

Research

Predictive maintenance

Publication

Philipp Zürcher, Sara Badr, Stephanie Knüppel, Hirokazu Sugiyama "Data-driven approach towards long-term equipment condition assessment in sterile drug product manufacturing" ACS Omega, 7, 36415–36426 (2022)
DOI: 10.1021/acsomega.2c04182

Philipp Zürcher, Sara Badr, Stephanie Knüppel, Hirokazu Sugiyama "Data-driven equipment condition monitoring and reliability assessment for sterile drug product manufacturing: method and application for an operating facility" Chemical Engineering Research and Design, 188, 301–314 (2022) DOI: 10.1016/j.cherd.2022.09.005

Philipp Samuel Zuercher, Sara Badr, Stephanie Knueppel, Hirokazu Sugiyama "Data-driven operation support for equipment deterioration detection in drug product manufacturing" 14th International Symposium on Process System Engineering, Elsevier, Computer Aided Chemical Engineering, 49, 1519–1524 (2022)

Philipp Samuel Zürcher, Haruku Shirahata, Sara Badr, Hirokazu Sugiyama, "Multi-stage and multi-objective decision-support tool for biopharmaceutical drug product manufacturing: equipment technology evaluation" Chemical Engineering Research and Design, 161, 240–252 (2020), DOI: 10.1016/j.cherd.2020.07.004

Philipp Zurcher, Michael Sokolov, David Bruhlmann, Raphael Ducommun, Matthieu Stettler, Jonathan Souquet, Martin Jordan, Herve Broly, Massimo Morbidelli, Alessandro Butte, "Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction" Biotechnology Progress, accepted, DOI: 10.1002/btpr.3012

Conferences

Philipp Samuel Zuercher, Sara Badr, Stephanie Knueppel, Hirokazu Sugiyama "Multi-step approach for data-driven equipment condition assessment in biopharmaceutical drug product manufacturing" Oral, Society of Chemical Engineers, Japan (SCEJ) 53rd Autumn Meeting, 14-16 September 2022, Virtual meeting/Shinshu University, Nagano

Philipp Samuel Zuercher, Sara Badr, Stephanie Knueppel, Hirokazu Sugiyama "Data-driven decision support for equipment condition monitoring and predictive maintenance in biopharmaceutical drug product manufacturing" Oral, Society of Chemical Engineers, Japan (SCEJ) 53rd Autumn Meeting, 14-16 September 2022, Virtual meeting/Shinshu University, Nagano

Philipp Samuel Zuercher, Sara Badr, Stephanie Knueppel, Hirokazu Sugiyama "Data-driven operation support for equipment deterioration detection in drug product manufacturing", Oral, The 14th International Symposium on Process Systems Engineering (PSE 2021+), 19-23 June 2022, Kyoto University Clock Tower Centennial Hall, Kyoto, Japan/Virtual meeting

Philipp Zuercher, Sara Badr, Hirokazu Sugiyama "Data-driven approaches towards equipment health-classification and predictive monitoring in drug product manufacturing" Oral, 2021 AIChE Annual Meeting, 7-19 November 2021, Marriott Boston Copley Place, Sheraton Boston, Westin Copley Place, Hilton Boston Back Bay, John B. Hynes Convention Center, Boston, U.S.A./Virtual meeting

Philipp Samuel Zuercher, Sara Badr, Hirokazu Sugiyama "Data-driven approaches towards equipment health classification using process monitoring information in pharmaceutical manufacturing" Oral, Society of Chemical Engineers, Japan (SCEJ) 86th Annual Meeting, 20-22 March 2021, Virtual meeting

Philipp Zürcher, Sara Badr, Hirokazu Sugiyama "Data-Driven Approaches Towards Real-Time Equipment Health Monitoring and Predictive Maintenance in Drug Product Manufacturing" Oral, 2020 AIChE Annual Meeting, 16–20 November 2020, Virtual meeting