Christina Schenk

Postdoctoral Fellow at Basque Center for Applied Mathematics

After receiving my Bachelor's and Master's degree in Applied Mathematics in 2011 and 2013 from Trier University (Germany), I started working as a research assistant in the research group of Volker Schulz on PDE-Constrained Optimization at Trier University in 2013. Throughout this time, I was also pursuing my Ph.D. in the area of Modeling, Simulation and Optimization of Fermentation Processes. I successfully defended my doctoral thesis on Modeling, Simulation and Optimization of Wine Fermentation on February 1, 2018.
Subsequently, I was a postdoctoral researcher in the research group of Lorenz Biegler on Optimization and Numerical Methods for Process Design, Analysis, Operations and Control at Carnegie Mellon University in Pittsburgh, PA (USA) from March 2018 to January 2020.
I recently joined Elena Akhmatskaya's group on Modeling and Simulation in Life and Materials Sciences as a postdoctoral researcher at the Basque Center for Applied Mathematics (BCAM) in Bilbao, Basque Country (Spain) where I mainly work on Predictive Modeling of Metabolism Through Monte Carlo Sampling and Machine Learning for Metabolic Modeling in collaboration with researchers from Lawrence Berkeley National Lab (LBL, USA) and Washington University in St. Louis (USA). Presently I also hold an affiliate postdoctoral researcher appointment at LBL.

Research

  • Modeling, simulation and optimization with particular focus on energy and healthcare applications:
    • Machine learning for metabolic modeling and optimal design
    • Predictive metabolic modeling through advanced sampling techniques
    • Algorithm and software development for variance and parameter estimation of reaction kinetics from spectroscopic data coming from chemical or pharmaceutical processes
    • Mixed-effects models for kinetic parameter estimation
    • (Numerical) analysis of systems of PDEs, PIDE/OIDEs and DAEs
    • Robust CFD-based optimization of biogas power plants
    • Economic nonlinear model predictive control with parameter and state estimation for wine fermentation
    • Numerical modeling and analysis of integro-differential equations, systems of weakly hyperbolic differential equations or respectively reaction-advection equations
    • Population balance models

      • Research groups

      • Visit BCAM research group website
      • Visit LBL research group website

      • Industrial and Public Research Partners

      • Lawrence Berkeley National Lab
      • Festo SE & Co. KG
      • The Dow Chemical Company
      • Pfizer Inc.
      • Eli Lilly and Company
      • Dienstleistungszentrum Ländlicher Raum Mosel
      • fp sensor systems
      • LWG Veitshöchheim
      • BGA Warsow GmbH & Co. KG
      • agriKomp GmbH

Publications

Articles

  • C. Schenk and V. Schulz (2020): Existence, Uniqueness and Numerical Modeling of Wine Fermentation Based on Integro-Differential Equations (submitted to SIAM J. Appl. Math.) (Preprint available here)
  • J. Bartsch, A. Borzì, J. Müller, C. Schenk, D. Schmidt, V. Schulz and K. Velten (2021): Energy conservation for wine fermentation - Nonlinear model predictive control for placement and real-time control of cooling plates, in: A. Milde, K.-H. Küfer, P. Maass and V. Schulz (eds.), "German Success Stories in Industrial Mathematics", Mathematics in Industry, Springer (available here)
  • C. Schenk, L. T. Biegler, L. Han and J. Mustakis (2020): Kinetic Parameter Estimation from Spectroscopic Data for a Multi-Stage Solid-Liquid Pharmaceutical Process, Organic Process Research & Development, DOI: 10.1021/acs.oprd.0c00277 (available here, Preprint)
  • J. Müller*, C. Schenk*, R. Keicher, D. Schmidt, V. Schulz and K. Velten (2020): Optimization of an Externally Mixed Biogas Plant Using a Robust CFD Method, Computers and Electronics in Agriculture, Volume 171, 105294, DOI: 10.1016/j.compag.2020.105294 (available here, Preprint)
  • C. Schenk*, M. Short*, J. S. Rodriguez, D. Thierry, L. T. Biegler, S. Garcia-Muñoz, W. Chen (2020): Introducing KIPET : A novel open-source software package for kinetic parameter estimation from experimental datasets including spectra, Computers and Chemical Engineering, Volume 134, 106716, DOI: 10.1016/j.compchemeng.2019.106716 (available here, Preprint)
  • M. Short, C. Schenk, D. Thierry, J. S. Rodriguez, L. T. Biegler, S. Garcia-Muñoz (2019): KIPET - An Open-Source Kinetic Parameter Estimation Toolkit, Computer Aided Chemical Engineering, Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, Volume 47, Pages: 299-304, DOI: 10.1016/B978-0-12-818597-1.50047-3 (available here, Preprint)
  • C. Schenk, V. Schulz, A. Rosch, C. von Wallbrunn (2017): Less cooling energy in wine fermentation - A case study in mathematical modeling, simulation and optimization, Food and Bioproducts Processing, Volume 103, Pages: 131-138, DOI: 10.1016/j.fbp.2017.04.001 (available here, Preprint)
  • C. Schenk, V. Schulz (2015): Energy-optimal control of temperature for wine fermentation based on a novel model including the yeast dying phase. IFAC-PapersOnLine, 48(23), 5th IFAC Conference on Nonlinear Model Predictive Control (NMPC'15), Seville, Spain, 452-457, doi:10.1016/j.ifacol.2015.11.320 (available here, Preprint)
  • *: Co-first authors

Preprints

  • J. Bartsch, A. Borzì, C. Schenk, D. Schmidt, J. Müller, V. Schulz, K. Velten (2019): An extended model of wine fermentation including aromas and acids. ArXiv-Preprint, arXiv:1901.03659 (available here)
  • A. Borzì, J. Merger, J. Müller, A. Rosch, C. Schenk, D. Schmidt, S. Schmidt, V. Schulz, K. Velten, C. von Wallbrunn, M. Zänglein (2014): Novel model for wine fermentation including the yeast dying phase. ArXiv-Preprint, arXiv:1412.6068 (available here)

Book Reviews

  • C. Schenk (2019): Review of Pyomo: Optimization Modeling in Python (William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany Nicholson, and John D. Siirola, 2nd Edition). SIAM Rev., 61(1), pp. 209-225 (available here)

Theses

  • C. Schenk (2018): Modeling, Simulation and Optimization of Wine Fermentation, PhD thesis, Examiners: Prof. Dr. Volker Schulz (Trier University) and Prof. Dr. Lorenz T. Biegler (Carnegie Mellon University) (available here)
  • C. Schenk (2013): Optimal Design of Cardiovascular Stents, Master's thesis
  • C. Schenk (2011): Nonlocal Diffusion Equations, Bachelor's thesis

Media

  • C. Schenk (STEM Woman) (since 2015): MINT-Frau (STEM Woman) Ada Lovelace Project (in German) (Profile available here)
  • C. Schenk (2021) - Testimonial, FemSTEM (available here)
  • C. Schenk (2021) - Talk at San Felix School in Ortuella to 13-year-old students on "The role of hidden figures for becoming the next Katherine Johnson, Marie Curie or Ada Lovelace" ("El papel de las figuras ocultas para convertirse en la próxima Katherine Johnson, Marie Curie o Ada Lovelace") (in English and Spanish) as part of the "11 de febrero” initiative in the context of the International Day of Women and Girls in Science, BCAM News Article.
  • Article on our "Optimization of an Externally Mixed Biogas Plant Using a Robust CFD Method" article in “Mapping Ignorance”: Optimal mixer placement in industrial-size biogas fermenters by César Tomé López (2020) (available here)
  • C. Schenk (2020): The scientists who inspired us (I): Ada Lovelace, BCAM News (available here)
  • L. Biegler: The Optimization of Chemical Engineering
  • Zauberei im Keller (German)
  • Study Mathematics at Trier University (German)
  • Activities

    Past Conferences/Workshops/Courses/Talks

    • 09/2021: DFG-SPP 1962 Summer School on Optimization under Uncertainty, Virtual Event (Philipps-Universität Marburg, Germany)
    • 08/2021: 13th International Conference on Monte Carlo Methods and Applications (MCM 2021), Virtual Event (University of Mannheim, Mannheim, Germany)
    • 07/2021: ALOP Workshop on Nonlocal Models, Virtual Event (Trier University, Trier, Germany)
    • 05/2021: SIAM Conference on Mathematical Aspects of Materials Science (MS20), Bilbao, Spain (Postponed from 2020 to 2021)
    • 04/2021: Workshop on Autonomous Discovery in Science and Engineering, Virtual Event (The Center for Advanced Mathematics for Energy Research Applications (CAMERA), Berkeley Lab, Berkeley, CA, USA)
    • 04/2021: 21st ECMI Conference on Industrial and Applied Mathematics, Invited talk on "Optimization Problems Arising in the Complex Industrial Processes of Wine Fermentation and Polymerization", Virtual Event (Bergische Universität Wuppertal, Wuppertal, Germany)
    • 02/2021: Invited plenary talk at 12th Dynamical Systems Applied to Biology and Natural Science - DSABNS 2021 Conference on "Predictive Mathematical Modeling of Dynamical Particle Morphology Formation in Polymerization Processes", Virtual Event (BCAM, Bilbao, Spain)
    • 12/2020: Invited talk in ALOP-Colloquium at Trier University, Department of Mathematics, on "Population Balance Modeling, Simulation and Optimization: From Wine Fermentation to Polymerization", Virtual Event (Trier, Germany)
    • 11/2020: Invited seminar talk at the University of Surrey, Department of Chemical and Process Engineering, on "Population Balance Modeling, Simulation and Optimization for Advancements in Industrial Processes", Virtual Event (Guildford, England)
    • 08/2020: 14th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2020), Virtual Event (Oxford, England)
    • 7/2020: GAMM Juniors' Summer School on Learning Models from Data: Model Reduction, System Identification and Machine Learning - SAMM 2020 (Participation and poster presentation on "A Hamiltonian Monte Carlo Bayesian Inference Approach Using Deep Learning for Modeling Metabolism"), Virtual Event (Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany)
    • 11/2019: Invited seminar talk at Carnegie Mellon University, Department of Mathematical Sciences, Center for Nonlinear Analysis, on "Numerical modeling of wine fermentation based on coupled weakly hyperbolic nonlinear integro-differential equations", Pittsburgh, PA, USA
    • 10/2019: ChEGSA Research Symposium (Participation), Pittsburgh, PA, USA
    • 08/2019: 2019 YinzOR Student Conference (Participation), Pittsburgh, PA, USA
    • 08/2019: Invited talk at TU Berlin on "Kinetic Parameter Estimation Based on Spectroscopic Data of Drug Manufacturing Processes - An Application-Oriented Approach", Berlin, Germany
    • 08/2019: International Conference on Continuous Optimization (ICCOPT) (Participation, co-organizer of minisymposium, session chair and talk on "Kinetic Parameter Estimation Based on Spectroscopic Data and Its Application to Drug Manufacturing Processes"), Berlin, Germany
    • 07/2019: Invited talk at Festo AG & Co. KG on "Economic nonlinear model predictive control with parameter and state estimation for energy conservation during wine fermentation - related challenges and solution approaches", Denkendorf, Germany
    • 07/2019: Invited talk at Trier University on "Investigations for Kinetic Parameter Estimation of Drug Manufacturing Processes - An Application-Oriented Approach", Trier, Germany
    • 05/2019: Cell Modeling Workshop (Participation), Pittsburgh Supercomputing Center, Pittsburgh, PA, USA
    • 03/2019: CAPD Annual Review Meeting (Participation and poster presentation on "Parameter Identification of Reaction Kinetics from Spectroscopic Data for Pharmaceutical Processes"), Pittsburgh, PA, USA
    • 02/2019: Invited Talk at Pfizer Inc. on ``Parameter Identification of Reaction Kinetics from Spectroscopic Data - Pfizer Case Studies", Groton, CT, USA
    • 10-11/2018: AIChE Annual Meeting 2018 (Participation and talk on "Parameter Estimation of Reaction Kinetics from Spectroscopic Data - Developments and Applications"), Pittsburgh, PA, USA
    • 10/2018: ChEGSA Research Symposium (Participation), Pittsburgh, PA, USA
    • 08/2018: 2018 YinzOR Student Conference (Participation), Pittsburgh, PA, USA
    • 08/2018: 6th IFAC Conference on Nonlinear Model Predictive Control (Participation and poster presentation on "Economic Nonlinear Model Predictive Control with Parameter and State Estimation - Energy Conservation During Wine Fermentation"), Madison, WI, USA
    • 08/2018: MOPTA Conference 2018 (Participation and talk on "Kinetic Parameter Identification Based on Spectroscopic Data - Advancements Illustrated by Case Studies"), Bethlehem, PA, USA
    • 08/2018: Invited talk at Trier University on "Parameter Estimation for Pharmaceutical Processes - Advancements and Case Studies", Trier, Germany
    • 07/2018: IFIP TC 7 Conference on System Modelling and Optimization (Participation and invited talk on "Optimal Control of Wine Fermentation"), Essen, Germany
    • 08/2017: Autumn School: Optimization in Machine Learning and Data Science, Trier, Germany
    • 11/2017: Invited talk on "LaTeX - Not Only for Natural Scientists", Brownbag Event of the Center for Equal Opportunities at Trier University, Trier, Germany
    • 07/2017: SIAM Conference on Control and Its Applications (Participation, co-organizer of minisymposium, session chair and talk on "Nonlinear Optimal Feedback Control for Wine Fermentation by Economic NMPC"), Pittsburgh, PA, U.S.A.
    • 06/2017: ROENOBIO Workshop (Participation and talk on "Investigations for energy-optimal control of wine fermentation"), Würzburg, Germany
    • 04/2017: Campus Dialogue Research (Invited poster presentation on "Magic in the Wine Cellar - Mathematics for the Energy-Optimization of Wine Fermentation"), Trier University, Trier, Germany
    • 03/2017: Workshop Women in Optimization (Participation), Trier, Germany
    • 02/2017: KoMSO Challenge Workshop - Challenges for Mathematical Modeling, Simulation and Optimization for Advanced Process Control of Batch Processes (Participation), Heidelberg, Germany
    • 09-10/2016: SIAM Conference on Mathematics of Planet Earth (Participation and talk on "Energy-optimal control of temperature for wine fermentation"), Philadelphia, PA, U.S.A.
    • 04/2016: SIGOPT - International Conference on Optimization (Participation and session chair), Trier, Germany
    • 03/2016: KoMSO Challenge Workshop - Mathematical Modeling, Simulation and Optimization in Food Industries (Participation and talk on "Economic model predictive control with parameter and state estimation for energy consumption during wine fermentation"), Trier, Germany
    • 03/2016: Joint Annual Meeting of DMV and GAMM 2016 (Participation and talk on "Robust optimization of inlet orientation and outlet position of biogas plants"), Braunschweig, Germany
    • 09/2015: 5th IFAC Conference on Nonlinear Model Predictive Control (Participation and poster presentation on "Energy-optimal control of temperature for wine fermentation based on a novel model including the yeast dying phase"), Seville, Spain
    • 08/2015: 4th Symposium of the German SIAM Student Chapters (Participation), Trier, Germany
    • 07/2015: OpenFOAM Introductory Course (Participation), Genoa, Italy
    • 03/2015: 86th Annual Meeting of the International Association of Applied Mathematics and Mechanics - GAMM 2015 (Participation and talk on "Numerical simulation for wine fermentation based on IDEs"), Lecce, Italy
    • 03/2015: Workshop Women in Optimization (Participation and poster presentation on "MSO - Modeling, simulation and optimization of fermentation processes"), Heidelberg, Germany
    • 09/2014: Workshop MSO-Tools 2014 (Participation and talk on "Modeling, simulation and parameter estimation for wine fermentation"), Berlin, Germany
    • 08/2014: 3rd Symposium of the German SIAM Student Chapters (Participation and talk on "Numerical modeling of wine fermentation"), Magdeburg, Germany
    • 04/2014: Campus Dialogue Research (Invited poster presentation on "ROENOBIO - Robust Energy-Optimization of Fermentation Processes for the Production of Biogas and Wine"), Trier University, Trier, Germany
    • 03/2014: 85th Annual Meeting of the International Association of Applied Mathematics and Mechanics - GAMM 2014 (Participation and talk on "Parameter estimation of wine fermentation with respect to the mass structure of yeast cells"), Erlangen, Germany
    • 02/2014: Compact Course and Challenge Workshop on Industrial Optimization (Participation), Heidelberg, Germany
    • 08/2013: 2nd Symposium of the German SIAM Student Chapters (Participation), Heidelberg, Germany
    • 07/2013: Summer School in Computational Engineering Sciences (Participation), Luxembourg, Luxembourg

    Memberships

    • Member of EWM (European Women in Mathematics)
    • Member of AWM (Association for Women in Mathematics)
    • Member of Engineers Without Borders (Ingenieure ohne Grenzen)
    • Member of SIAM (Society for Industrial and Applied Mathematics)

    Contact Me

    • BCAM - Basque Center for Applied Mathematics
      Alameda de Mazarredo, 14
      48009 Bilbao, Basque Country - Spain

      Lawrence Berkeley National Laboratory (LBL), Quantitative Metabolic Modeling, Berkeley, CA - USA

    • Christina Schenk (BCAM)
      Christina Schenk (LBL)

    • mail[at]christinaschenk.de, cschenk[at]bcamath.org, schenkch[at]lbl.gov


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    • GitHub