Dr. Matthias König	Group leader 2016-	Data scientist, data analyst, computational modeler, bioinformatician, group leader. Application of computational modeling and machine learning to biological, medical and clinical questions and data sets. Predictive modeling of physiological processes and systems with a focus on metabolic research. Research projects on glucose homeostasis in normal and diabetic subjects, personalization of liver function tests to improve diagnosis, and stratification and individualization of computational models for precision medicine.
	Mariia Myshkina	Ph.D. student 2024-	Mariia works on ATLAS, a decision support tool for hepatocellular carcinoma (HCC). Based on AI methods, ATLAS processes all relevant patient data from databases, systems medicine and continuum biomechanical in silico prognosis models as well as individual patient data. The tool is being developed in a co-design approach by experts in surgical oncology, mathematical modeling and machine learning.
	Nike Nemitz	Bachelor project 2024	Nike develops a physiologically based pharmacokinetic/pharmacodynamic (PBPK) model of SGLT2 inhibitor dapagliflozin. The objective is to enhance our understanding of the underlying causes of intraindividual variability in diabetes treatment with SGLT2 inhibitors, e.g., differences in hepatorenal function.
	Yusuf Ali Kulanoglu	Study project and Bachelor thesis Biophysics 2024-04 - 2024-12	Yusuf works on a physiologically based pharmacokinetic/pharmacodynamic model of the direct renin inhibitor aliskiren.
	Jennesse Alejandro	Humboldt-Internship student 2024 (Brown University) 2024-08/2024-11	Jennesse develops a physiologically based pharmacokinetic/pharmacodynamic (PBPK) model of SGLT2 inhibitor canagliflozin. The objective is to enhance our understanding of the underlying causes of intraindividual variability in diabetes treatment with SGLT2 inhibitors, e.g., differences in hepatorenal function.
	Michelle Elias	Bachelor project and Bachelor thesis 2024-09/2025-02	Michelle develops a physiologically based pharmacokinetic/pharmacodynamic (PBPK) model of the sulfonylurea glimepiride. The objective is to enhance our understanding of the underlying causes of intraindividual variability in insulin secretion and T2DM treatment with sulfonylurea, e.g., differences in hepatorenal function.
	Ennie Tensil	Bachelor project and Bachelor thesis 2024-09/2025-02	Ennie develops a physiologically based pharmacokinetic/pharmacodynamic (PBPK) model of the direct angiotensin II receptor (ARB) inhibitor losartan. The objective is to enhance our understanding of the underlying causes of intraindividual variability in hyptertension treatment with ARB inhibitors, e.g., differences in hepatorenal function and CYPC29 genotype.
	Amanda Lim	Medical thesis 2023-09/2024-06	Amanda develops a physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model of the diuretic hydrochlorothiazide. The objective is to enhance our understanding of how hydrochlorothiazide changes urinary volume and plasma volume and ion balance (sodium, potassium, chloride).
	Helen Leal Pujol	Bachelor student, student assistant 2021-	Helen worked on a physiologically based model of pravastatin. Key questions are the effect of genotypes and hepatic and renal disease on pravastatin pharmacokinetics and coupling to a pharmacodynamic model of LDL-C reduction. Currently, Helen works on a physiologically based model of omeprazol.
	Beatrice Stemmer Mallol	Bachelor student, student assistant 2022-	Beatrice works on a physiologically based model to characterize intestinal P-glycoprotein using talinolol as a probe drug.
	Luca Samuel Sawady	Internship 2023-09/2024-01	Luca works on a physiologically based model of the oral contraceptive component ethinylestradiol. By the end of this project, we offer a robust and validated PBPK model for ethinylestradiol that can serve as a valuable tool for researchers, clinicians, and the pharmaceutical industry.
	Antonio Aquiles Alvarez Aguilar	Master thesis 2023-10/2024-04	Antonio will delve into the influence of parameter variability in PBPK models, focusing on the consequential effects for dynamic liver function assessments. The overarching objective of this project is to augment our comprehension of how inherent variability in parameters translates into intra-individual variability in pharmacokinetics.
	Deepa Maheshvare	Ph.D. student (internship), Humboldt-Internship student 2024 2023-2024	Deepa works on enhancing our understanding of morphine pharmacokinetics based on a physiologically based modeling approach.
	Rohini Chakraborty	Data curation 2024-03	Rohini supports the data curation for morphine pharmacokinetics.
	Rohit Chakraborty	Data curation 2024-05	Rohit supports the data curation for morphine pharmacokinetics.

Alumni

	Vera Tereshchuk	Humboldt-Internship student 2024 2024-07/2024-09	Vera developed a physiologically based pharmacokinetic/pharmacodynamic (PBPK) model of SGLT2 inhibitor canagliflozin. The objective is to enhance our understanding of the underlying causes of intraindividual variability in diabetes treatment with SGLT2 inhibitors, e.g., differences in hepatorenal function.
	Samira Eissazedeh	ERASMUS 2024-08/2024-09	Samira works to enhance our understanding of the role of endoglin in TGF-β signaling. She develops a computational model that explores the nuances of L-endoglin's role within this pathway and evaluates the effects of targeted interventions on this signaling.
	Jonas Küttner	Master project, Master student, QuaLiPerF 2022-2024	Jonas worked on a physiologically based model of chlorzoxazone for hepatic CYP2E1 phenotyping. Key questions are the effect of CYP2E1 induction/inhibition and zonation on chlorzoxazone phenotyping. Jonas now analyses whole-slide images of the the liver to evaluate zonation patterns in the the liver using digital pathology methods. In his master theses Jonas developed methods for quantitative image analysis of hepatic zonation in cytochrome P450 and steatosis using whole slide scans.
	Prerna Parakkat	Humboldt-Internship student 2024 2024-05/2024-08	Prerna worked on an advanced Large Language Model (LLM) to serve as an expert system for efficiently and accurately curating pharmacokinetic data from scientific literature.
	Afruja Hossain	Bachelor student 2022-2024	Afruja worked on a systematic overview of the protein variability of cytochrome P450 (CYP450) isoforms in the human liver.
	Shubhankar Palwankar	Master thesis 2023-10/2024-05	Shubhankar worked on enhancing our understanding of enalapril's pharmacokinetics and dynamics based on a physiologically based modeling approach. The work will build on top of existing models of the ACE inhibitors lisinopril and ramipril.
	Hannah Menghis	Humboldt Internship Student (Brown University) 2023-08/2023-10	Hannah will establish a pharmacokinetic dataset of semaglutide and develop an initial version of a physiologically based pharmacokinetic (PBPK) model of the GLP-1 inhibitor semaglutide. The objective is to enhance our understanding of the underlying causes of intraindividual variability in semaglutide treatment, e.g., differences in renal function.
	Hülya Karaboğa	ERASMUS 2023-10/2023-12	Huelya will develop a physiologically based pharmacokinetic (PBPK) model of the ACE inhibitor captopril.
	Frances Okibedi	Internship 2023-03/2023-12	Frances works a physiologically based pharmacokinetic (PBPK) model of sorafenib for systemic treatment of hepatocellular carcinoma (HCC). Key questions are to study the effect of OATP activity and CYP3A4 inhibition on sorafenib pharmacokinetics and efficiency.
	Sankha Das	Research Internship 2022-11/2023-05	Sankha works on the analysis and quantification of microcirculation data recorded in Humans and Rats. Within the project a workflow for the analysis of orthogonal polarization spectroscopy (OPS) and IDF will be developed as part of QuaLiPerF.
	Xenia Petukhova	Humboldt Internship Student 2023 2023-07/2023-09	Xenia works on a physiologically based pharmacokinetic (PBPK) model of inulin to assess the glomerular filtration rate (GFR). Our goal is to gain a deeper understanding of the impact of various inulin protocols on GFR measurement and the influence of physiological factors, such as body composition, on GFR determination using inulin.
	Samira Eissazedeh	ERASMUS 2023-09/2023-12	Samira works to enhance our understanding of the role of endoglin in TGF-β signaling. She develops a computational model that explores the nuances of L-endoglin's role within this pathway and evaluates the effects of targeted interventions on this signaling.
	Zahra Bahri	Humboldt Internship Student 2023 2023-07/2023-09	Zhara works on a physiologically based pharmacokinetic (PBPK) model to estimate the glomerular filtration rate (eGFR) using creatinine. The objective is to enhance our understanding of how variations in creatinine production, muscle mass, and tubular secretion of creatinine influence eGFR calculations.
	Florian Bartsch	Bachelor student, Master project, student assistant, Master project 2020-	Florian works on a physiologically based model of statin clearance. Key questions are the effect of statins (atorvastatin and simvastatin) on cholesterol plasma levels and drug-drug interactions.
	Adrian Köller	Bachelor student, Master project, student assistant 2020-2023	Adrian worked on a physiologically based model of indocyanine green (ICG) clearance. Key questions are the effect of blood flow and plasma proteins on ICG clearance and related liver function tests. Currently, Adrian analyzes the changes in OGTT during impaired glucose tolerance and diabetes type 2.
	Nurudeen Sojimade	Internship 2023-03/2023-05	Nurudeen works a physiologically based pharmacokinetic (PBPK) model of the contrast agent Gd-EOB-DTPA. Key questions are to study the effect of hepato-renal impairment, perfusion and OATP activity on Gd-EOB-DTPA pharmacokinetics.
	Jan Grzegorzewski	Ph.D. student 2017-2023	Jan worked on the stratification and personalization of computational models. He develops methods and software for semi-automatic data curation of pharmacokinetic information and a pharmacokinetic database for storage and the storage and FAIR access of such data (PK-DB).
	Sophie Silberhorn	Internship 2023-05/2023-06	Sophie worked on a systematic overview of the protein variability of ABC and SLC transporters in the human liver.
	Paula Ogata	Humboldt Internship Student 2020-2022	Paula works on a pharmacokinetics/pharmacodynamics model of metoprolol. Key questions are the effect of dosing and formulation on metoprolol pharmacokinetics and exercise heart rate (EHR) reduction.
	Deepa Maheshvare	Ph.D. student (internship) 2019-2023	Deepa works on a kinetic model of glucose stimulated insulin secretion (GSIS) of the pancreatic beta-cell. Key questions are the changes in glycolysis during insulin secretion.
	Janosch Brandhorst	Student assistant 2019-2022	Janosch works on the computational modeling of acetaminophen through the liver and curates data for the pharmacokinetics database PK-DB.
	Sükrü Balci	Bachelor student 2020-2021	Sükrü Balci works on a physiological based model of omeprazole. Key questions are the effect of omeprazole formulation and dosing on the pharmacodynamic effects of omeprazole.
	Sankha Das	Google summer of code student (2021) 2021	In cooperation with Ralf Steuer from the Humboldt-University Berlin we are implementing an SBML report for Humans in sbmlutils. The full proposal is available here.
	Yannick Duport	Bachelor student 2019-2021	Yannick Duport works on a physiological based model of midazolam clearance. Key questions are the effect of inhibitors and inducers on the metabolism of midazolam.
	Danny Ke	Humboldt Internship Student 2020 2020-2021	Danny Ke works on a physiological based model of benzodiazepines. Key questions are the effect of genetic variance on clearance of diazepam.
	Sara de Angelis	Humboldt Internship Student 2020 2020	Sara de Angelis works on a physiological based model of torasemide. Key questions are the effect of sex on torasemide pharmacokinetics and pharmacodynamics.
	Hemant Yadav	Google summer of code student (2020) 2020	In cooperation with Andreas Dräger from the University of Tübingen we are extending SBML and JSON support for cobrapy. The full proposal is available here.
	Hemil Panchiwala	Google summer of code student (2020) 2020	In cooperation with Andreas Dräger from the University of Tübingen we are extending SBML support for The Systems Biology Simulation Core Library. The full proposal is available here.
	Kaustubh Trivedi	Google summer of code student (2019) 2019	In cooperation with Andreas Dräger from the University of Tübingen we are working on the extension of ModelPolisher to a universal annotation tool.
	Patrick Pett	Ph.D. student (mentoring) 2017-2019	Patrick works on the analysis of mammalian circadian clock in the human liver based on the analysis of OMICS datasets.
	Roman Schulte	Bachelor thesis 2018	Within his thesis the concept of an Modular Research Environment (MRE) was developed. An MRE is a modular application framework that can be extended with plugins to create a new tool. InSilico is the working proof-of-principle implementation of such an MRE and was developed alongside this work. The created infrastructure of InSilico can be used to create, share and reuse custom research tools with less effort, time, and resources compared to the traditional approach.
	Shalin Shah	Google Summer of Code 2018 2018	The Systems Biology Simulation Core Library (SBSCL) provides an efficient and exhaustive Java™ implementation of methods to interpret the content of models encoded in the Systems Biology Markup Language (SBML) and its numerical solution. This library is based on the JSBML project and can be used on every operating system for which a Java Virtual Machine is available. Within this project SBSCL was extended among others with better support for SED-ML and COMBINE archives. See also https://ssdoesgsoc.wordpress.com/.
	Takahiro Yamada	Google Summer of Code 2017 2017	Within this project as part of Google Summer of Code 2017 a Web App for SBML models was implemented which provides functionality for time course simulation, steady state analysis, and parameter estimation. The Web App provides options for uploading SBML models and experimental data files and run the respective simulations with the models. See also https://gsoc2017developwebservice.blogspot.com/.
	Dimitra Eleftheriadou	Student assistant 2016-2017	Dimitra (Master Toxicology) worked on the analysis and digitalization of literature data for liver function tests.