Find Academic Supervisors

• Medical biotechnology
• Bioprocess technology
• Industrial biotechnology
• +3 more

Nico Lingg is a Researcher at the Institute of Bioprocess Science and Engineering , part of the Department of Biotechnology and Food Science at the University of Natural Resources and Life Sciences, Vienna (BOKU) . Based at Muthgasse 18, Vienna, he specializes in protein purification , vaccine development , and chromatography techniques . Research Interests : Medical biotechnology Bioprocess technology Industrial biotechnology Viral vector purification Enzyme-based protein processing Biosensor development Key Projects : Development of a tag-less rNA downstream purification process Comprehensive chemical profiling of biopharmaceuticals Scientific Contributions : Advancements in baculovirus purification using non-woven fibers Optimization of heparin-affinity chromatography for VLPs CASPON® enzyme applications for scar-free protein tag removal Graphene biosensors for viral diagnostics Community Services : Scientific advisor for international symposia Organizer and session chair for chromatography conferences Peer-reviewer for journals like Vaccine , Journal of Chromatography A , and Biotechnology and Bioengineering

• Molecular Biotechnology
• Bioprocess Science
• Recombinant Protein Production
• +3 more

Christopher Tauer is a researcher at the University of Natural Resources and Life Sciences, Vienna (BOKU) , affiliated with the Department of Biotechnology and Food Science and its Institute of Bioprocess Science and Engineering and Institute of Molecular Biotechnology . His work focuses on optimizing bacterial expression systems for therapeutic proteins, genetic engineering in Escherichia coli , and synthetic biology approaches for bioprocessing. Research Highlights Developing recombinant protein production platforms in E. coli and Lactobacillus plantarum Specializing in non-canonical amino acid incorporation into antibody fragments Advancing CRISPR/Cas9 and RMCE genome editing techniques Investigating ribosome stalling and stress responses during protein production Publication Trends Recent work spans synthetic biology (2025), bioprocess optimization (2024), and microbial protein engineering (2023). Earlier contributions include foundational studies on inducible promoters in lactic acid bacteria (2016) and HIV antibody structure (1990). Teaching Contributes to biotechnology education at BOKU, offering courses on microbial systems and protein engineering.

Jürgen ZanghelliniView profile

Professor

• Metabolic Engineering
• Bioprocess Optimization
• Proteomics
• +3 more

Jürgen Zanghellini is a Professor at the Faculty of Chemistry, Institute of Analytical Chemistry. His work spans metabolic engineering, bioprocess optimization, and proteomics, with a focus on industrial microorganisms like Escherichia coli and Komagataella phaffii. Key Projects : Circular Bioengineering (2024-2029) Prokaryote Proteomics at High Temperatures (2024-2027) Morphometabolic Fingerprint of Ovarian Cancer (2022-2026) Research Themes : Metabolic modeling, crosslinking mass spectrometry, and data-driven bioprocess control dominate his recent work. He integrates multi-omics approaches to enhance viral vector yields and optimize fed-batch fermentation processes. Collaborations : He works extensively with researchers like Köllensperger, Gerner, and Mattanovich, and is involved in organizing scientific events such as 'The Metabolic Guide to Space Survival' (2025).

Birgit RudloffView profile

Professor

• Optimization under Uncertainty
• Dynamic Optimization
• Multicriteria Optimization
• +6 more

Prof. Birgit Rudloff is a Full Professor at the Institute for Statistics and Mathematics, Vienna University of Economics and Business (WU). She holds the title of Deputy Institute Chair and leads a research group focused on optimization and financial mathematics. Her work bridges dynamic programming, set-valued risk measures, and systemic risk analysis, with applications in finance and economics. Affiliations: Vienna Graduate School on Computational Optimization (VGSCO), FWF-funded projects. Education: Habilitation (2016), Ph.D. (2006) in Financial Mathematics, M.Sc. (2002). Research Interests: Multivariate dynamic programming, set-valued Bellman principle, time consistency in optimization, systemic risk measurement, and algorithm development for vector optimization. Her group explores financial risk modeling under transaction costs and dynamic game equilibria. Publications: Over 47 peer-reviewed articles in top journals (e.g., Operations Research, Mathematical Programming ). Recent work includes set-valued systemic risk measures and Nash equilibrium approximations in convex games. Grants: FWF (€1.8M), OeNB (€170k), NSF-funded research communities. Labs/Teams: Leads a team of 3 PostDocs and 2 PhD students, fostering cross-disciplinary projects with experts in optimization, dynamic systems, and computational finance.

• Molecular Biotechnology
• Recombinant Protein Expression
• Virus-Like Particles (VLPs)
• +7 more

Reingard Grabherr is a full Professor of Molecular Biotechnology at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Institute of Molecular Biotechnology within the Department of Biotechnology and Life Sciences. She has been a leading figure in biotechnological research since her appointment as professor in 2017 and previously served as Head of the Department of Biotechnology. Her research focuses on molecular biotechnology , particularly in the areas of recombinant protein expression , virus-like particle (VLP) vaccines , glycosylation engineering , and genetic modification of lactic acid bacteria . She utilizes advanced systems such as the baculovirus expression platform and Escherichia coli for biopharmaceutical production. Her work bridges fundamental enzymology—especially in mollusc glycosyltransferases—with applied goals in vaccine development and gene therapy. Analysis of her recent publications reveals a strong trend toward vaccine design , particularly using VLPs for influenza and other pathogens, optimization of viral vector production (AAV, baculovirus), and glycoengineering in non-mammalian systems. Her group actively explores inducible expression systems , CRISPR-based tools , and process control in biomanufacturing. Her scientific excellence has been recognized with multiple awards: BOKU Inventor of the Year (2019) HOUSKA Prize 1st Place (2014) INITS First Prize (Wilde, Krammer, Mairhofer) ÖGMBT Research Prize (2011) APART Scholarship (1998) Science2business recognition (2008, 2007) She has supervised numerous master’s and doctoral theses , mentoring students in diverse areas of molecular biotechnology. Her research has been supported by major grants from the Austrian Science Fund (FWF) , Christian Doppler Society , and FFG . She leads or has led projects such as the CD Laboratory for Genetically Engineered Lactic Acid Bacteria and the CD Laboratory for Knowledge-Based Production of Gene Therapy Vectors. Grabherr is actively involved in scientific dissemination, giving lectures at international conferences and contributing to public understanding of science, including commentary on the Covid-19 antibody test and vaccines .

• Molecular Biotechnology
• Industrial Biotechnology
• Recombinant Protein Expression
• +7 more

Stefan Heinl is a researcher at the Institute of Molecular Biotechnology, Department of Biotechnology and Food Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on molecular biotechnology, particularly in recombinant protein expression, genetic engineering of lactic acid bacteria, and microbial systems biology. He leads the research project Bioremediation of Per- and Polyfluoroalkyl Substances (PFAS) and has been actively involved in multiple national and industry-funded projects. PhD: Development of a production strain for fumonisin degradation (2003–2008) PostDoc: Genetically engineered lactic acid bacteria (2008–2016) Project Leader: PFAS-Biorem (2024–2027) His research interests include industrial biotechnology, probiotics, synthetic biology, and bioremediation . He has published extensively on Lactobacillus systems, including gene expression, plasmid biology, and glycosylation. His recent work explores the use of recombinant bacteria as vaccine vectors and allergen delivery systems. His publications from 2013 to 2025 show a strong trend toward applied microbial biotechnology , particularly in health-related applications (e.g., immunomodulation, allergy prevention) and environmental solutions (e.g., PFAS degradation). The integration of systems biology and genetic engineering is a recurring theme. He has received scientific recognition including the Houskapreis (1st place, 2014) and WISP10 (3rd place, 2010) . He serves as a reviewer for journals such as Microbial Cell Factories , Journal of Biotechnology , and PLoS One , and has evaluated research proposals for agencies like the Slovenian Research Agency. He has supervised several master’s students and contributed to knowledge transfer through project reports and conference presentations. His work is supported by national industry funding and reflects a strong interdisciplinary approach combining microbiology, molecular biology, and bioprocess engineering.

• Immunometabolism
• T cell biology
• Cancer immunology
• +4 more

Andreas Berg serves as an Associate Professor at the Medical University of Vienna, where he is affiliated with the Center for Medical Physics and Biomedical Engineering. His academic profile bridges medical physics, immunology, and clinical research through interdisciplinary investigations into immune-metabolic interactions. His research focuses on: Immunometabolic regulation of T cell subsets (CD8+ T cells, TH17, Tregs) in disease contexts Bile acid metabolism's role in intestinal inflammation and autoimmune disorders Viral immunology mechanisms in SARS-CoV-2 and arenavirus systems Wastewater-based epidemiology for pathogen surveillance Cancer metabolic dependencies and therapeutic targeting Analysis of his 2023-2025 publications reveals dominant themes in immunometabolic crosstalk, particularly how metabolite availability governs T cell differentiation and effector functions in infection, autoimmunity, and cancer. His wastewater virome work has established critical pandemic monitoring frameworks, while his bile acid research identifies novel therapeutic avenues for inflammatory conditions. No scientific awards were documented in the source materials. Information regarding student advising, grant funding specifics, or laboratory team structures was not provided in the available texts, though his extensive publication record indicates active research leadership within his center.

Mher SafaryanView profile

Researcher

• Optimization theory and algorithms
• Machine learning
• Federated learning
• +7 more

Dr. Mher Safaryan is a postdoctoral researcher at the Institute of Science and Technology Austria (ISTA), affiliated with Prof. Dan Alistarh's research group since 2022. Previously, he held postdoctoral positions at King Abdullah University of Science and Technology (KAUST) from 2019-2022 and served as a research technician there from 2016-2019. He earned his Ph.D. in Mathematics from Yerevan State University in 2018 under Prof. Grigori Karagulyan's supervision. Education: Ph.D. in Mathematics (2018, YSU) Past Affiliations: KAUST (2016-2022), Neural Magic/Red Hat (industrial secondment) His research focuses on optimization theory and algorithms for machine learning , particularly in developing communication/computation/memory-efficient methods for large-scale training and federated learning. Key contributions include LDAdam (low-dimensional gradient statistics optimization), GradSkip (accelerated local gradient methods), and Unified Scaling Laws for compressed representations. He has published in top venues like NeurIPS, ICML, ICLR, TMLR, and The Journal of Geometric Analysis. Scientific Awards: Marie Skłodowska-Curie Fellowship (MSCA COFUND IST-BRIDGE) His work bridges machine learning optimization with mathematical foundations from his earlier research in real harmonic analysis. Current collaborations include Prof. Dan Alistarh (ISTA), Dr. Alexandre Marques (Neural Magic), and Prof. Peter Richtárik (KAUST).

• Computer Architecture
• Compilers
• Programming Languages
• +4 more

Andreas Krall is an Associate Professor in the Department of Software Technology at TU Wien's Faculty of Informatics. He holds roles as Curriculum Coordinator for the Bachelor Informatics and Bachelor Software and Information Engineering programs, and serves as a Substitute Member of the Curriculum Commission for Informatics. His research focuses on compiler design, architecture description languages (e.g., VADL), and formal methods for ensuring correctness in compiler-processor co-design. Key research areas include computer architecture, compiler verification, embedded systems, and the development of tools for processor simulation and optimization. Krall has led projects such as 'Correct Compilers for Correct Processors' (2010–2015) and contributed to the CACAO JVM project. He has published extensively on topics like instruction selection, abstract state machines (CASM), and SSA-based optimizations. Notable awards include the Heinz Zemanek Preis (1987). His work spans over 30 years, with contributions to both academic research and industry-relevant tools like the VADL architecture description framework. Krall has advised numerous students in topics ranging from compiler backends to garbage collection algorithms.

• Knowledge Graphs
• Datalog
• Database Systems
• +4 more

Aleksandar Pavlović is a researcher at the Institute of Computer Sciences specializing in knowledge graph technologies and Datalog-based systems. His work bridges semantic web standards with machine learning methodologies to advance knowledge representation and query processing efficiency. Research interests focus on: Knowledge graph embedding techniques with spatial and geometric interpretations Datalog optimization for SPARQL query evaluation Integration of graph neural networks with symbolic reasoning systems Interoperability solutions for semantic web technologies Recent publications (2023-2024) demonstrate consistent innovation in knowledge graph completion and reasoning, featuring novel embedding architectures like ExpressivE and region-based neural networks. His work shows strong alignment with database community priorities while pushing boundaries in neural-symbolic integration. Collaborations span international institutions through co-authorships with researchers including Sallinger, Schockaert, Angles, and Gottlob. He actively contributes to academic discourse through conference presentations, including recent work on AI-supported language services for long-term care systems.

Guodong WangView profile

Researcher

• Machine Learning
• Industrial Data Processing
• Cyber-Physical Systems
• +5 more

Dr. Guodong Wang is a researcher affiliated with the Forschungsbereich Cyber-Physical Systems at TU Wien. His work focuses on machine learning applications in industrial data processing, fault diagnosis, and health monitoring systems. He has collaborated extensively with Prof. Radu Grosu and other researchers on projects involving neural networks, Bayesian methods, and sensor data analysis. Education: PhD in Technical Sciences (Dr.techn.) MSc in Engineering His research interests bridge theoretical machine learning with practical industrial challenges, including: Development of generative neural network models for quality prediction in manufacturing Fault prognostics for semiconductor and marine machinery systems Integration of Bayesian networks and evidential reasoning for multi-sensor data fusion Key contributions include: Proposing the ZIZO algorithm for Echo-State Networks optimization Advancing wear condition prediction in milling tools Creating machine learning frameworks for cyber-physical systems diagnostics His work often addresses real-world applications in manufacturing, marine engineering, and medical diagnostics.

• Bioprocess Engineering
• Gene Therapy Vectors
• Protein Production
• +4 more

Astrid Dürauer is a Privatdozent (Associate Professor) at the Institute of Bioprocess Science and Engineering within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She holds leadership roles including Head of the Christian Doppler Laboratory for Knowledge-based Production of Gene Therapy Vectors and Deputy Head of the Department of Biotechnology . Her career spans over two decades in bioprocess development, with a focus on downstream processing, protein purification, and data-driven process modeling. PhD in Biotechnology (2001, BOKU Vienna) Habilitation in Bioprocess Engineering (2019, BOKU Vienna) Astrid's research centers on bioprocess optimization , particularly for gene therapy vectors and recombinant proteins . She pioneers the integration of machine learning and statistical models to enhance real-time monitoring and predictive analytics in downstream operations. Key projects include automation of process development, membrane fouling mitigation, and scalable chromatography systems. Her 15 most recent publications (2022–2025) highlight trends in explainable AI for biopharmaceutical processes, AAV vector production , HEK293 cell characterization , and continuous downstream processing . These works bridge biotechnology , data science , and industrial scalability . Scientific recognition includes: Head of Christian Doppler Laboratory (2023) Habilitation in Bioprocess Engineering (2019) She has led 7 funded projects (2014–2029) and served as Deputy Scientific Head for the BOKU Core Facility Biomolecular & Cellular Analysis (2020). Her work involves collaborations across statistics , molecular biotechnology , and industrial partners .

• Bioprocess Engineering
• Protein Biotechnology
• Recombinant Virus Production
• +2 more

Anna Frank is a researcher at the Institute of Bioprocess Science and Engineering , part of the University of Natural Resources and Life Sciences, Vienna. Her work focuses on bioprocess technology, particularly in recombinant protein production and virus engineering. Research Interests : Bioprocess Engineering, Protein Biotechnology, Recombinant Virus Production, Affinity Chromatography, Molecular Biology Publications (2023, 2020) highlight her expertise in endonuclease optimization for chromatin removal and fusion-tag systems in protein engineering. She has supervised Gregor Stitz’s Master’s thesis on monoclonal antibody characterization. Contact : anna.frank@boku.ac.at | +43 1 47654-79089

• Bioprocess Science
• Gene Therapy
• Molecular Biotechnology
• +2 more

Maria Toth is a researcher at the Institute of Bioprocess Science and Engineering , part of the Department of Biotechnology and Food Science at the University of Natural Resources and Life Sciences, Vienna (BOKU) . Her work focuses on advanced gene delivery systems and recombinant protein production in mammalian cells. Location: Muthgasse 18, 1190 Wien Email: maria.toth@boku.ac.at Research Interests: Maria's research centers on optimizing bioprocesses for gene therapy and biopharmaceutical applications. Key areas include: Comparative analysis of baculoviral vs. plasmid-based gene delivery Development of inducible systems like the T7 RNA polymerase for controlled protein production Advancing mammalian cell engineering for therapeutic applications Publications & Projects: She contributes to cutting-edge research through publications in journals like Viruses and presentations at specialized conferences. A notable project is the Christian Doppler Laboratory for Knowledge-based Production of Gene Therapy Vectors (2023–2029), funded by the Christian Doppler Research Association, where she collaborates with interdisciplinary teams from molecular biotechnology and statistics.

• Computational Electromagnetics
• Inverse Problems in Electromagnetism
• Bioimpedance and Medical Diagnostics
• +3 more

Alice Reinbacher-Köstinger is an Associate Professor at the Institute for Fundamentals and Theory of Electrical Engineering, Graz University of Technology, Faculty of Electrical Engineering. Her research focuses on computational electromagnetics, inverse problems, and bioimpedance analysis. Role: Research and Teaching Research Areas: Transformer modeling, NFC systems, aortic dissection detection, and surrogate-based optimization Email: alice.koestinger@tugraz.at Her work combines advanced modeling techniques with machine learning, particularly in magnetic material characterization and bioimpedance signal analysis. Recent publications emphasize physics-informed neural networks, harmonic balance methods, and Bayesian experimental design. Current projects include optimizing sensor placement for magnetic property measurements and developing simulation tools for medical diagnostics. Her research bridges electrical engineering with biomedical applications through multiphysics simulations and data-driven methods.