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ÖZGÜR ÖZTÜRKView profile

Assistant Professor

• Bioengineering
• Nanotechnology
• Drug Delivery
• +4 more

Özgür Öztürk serves as an Assistant Professor in the Department of Genetics and Bioengineering at Rafet Kayış Faculty of Engineering, Alanya Alaaddin Keykubat University. His academic career includes prior Lecturer positions at Izmir Institute of Technology (2015-2018) and current faculty appointment since 2023. Education Doctorate in Molecular Biology and Genetics, Ludwig-Maximilians-Universitaet München (2018-2022) MSc in Molecular Biology and Genetics (with thesis), Izmir Institute of Technology (2014-2017) BSc in Molecular Biology and Genetics, Izmir Institute of Technology (2009-2014) Research Interests Dr. Öztürk's research integrates bioengineering and nanotechnology to develop advanced therapeutic platforms. His expertise spans nanotechnology-guided drugs, metal-organic frameworks for nanopharmaceuticals, biomacromolecule synthesis and targeting, artificial nucleic acids, and solid-phase synthesis techniques. This work focuses on creating precision drug delivery systems for challenging diseases like glioblastoma, with emphasis on receptor-targeted gene therapy and biomaterial design. Publication Trends His 2019-2023 publications reveal a cohesive research trajectory in nanocarrier development for biomedical applications. Key themes include peptide nucleic acid-based nanoparticles for gene delivery, transferrin receptor-targeted polyplexes for brain cancer therapy, and conductive nanofibers for tissue engineering. The work demonstrates consistent innovation in balancing nanocarrier stability with functional cargo release, while bridging molecular biology, materials science, and clinical translation through interdisciplinary collaboration.

Juan Carlos Pichel CamposView profile

Professor

• parallel and distributed computing
• Big Data technologies
• programming models
• +7 more

Juan Carlos Pichel Campos is a Full Professor at the University of Santiago de Compostela (USC) specializing in high performance computing and language technologies. His research spans quantum computing, distributed systems, and Big Data technologies with a focus on practical applications in health informatics and computational physics. He received his B.Sc. and M.Sc. in Physics from University of Santiago de Compostela (Spain) and completed his Ph.D. there in 2006. He conducted postdoctoral research at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked as a researcher and project manager at Galicia Supercomputing Center. Professor Pichel's research interests include parallel and distributed computing, Big Data technologies, programming models, and software optimization techniques for emerging architectures. His recent work has focused on bridging quantum computing with classical high performance computing systems, developing efficient algorithms for processing massive biological datasets, and creating tools for health-related information retrieval and misinformation detection. His interdisciplinary approach combines techniques from computer science, physics, and biomedical informatics to solve complex computational problems. Analysis of his recent publications reveals a strong trend toward quantum computing applications and integration with classical HPC systems (accounting for approximately 40% of his recent work), followed by health informatics and natural language processing (about 30%), and bioinformatics and computational physics (about 30%). His research demonstrates a consistent focus on developing practical tools and frameworks that address real-world computational challenges across multiple domains. rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) C3HS: Content curation for consumer health search - Search and misinformation detection (2023-2026) Big-eRisk: Early Prediction of Personal Risks on Massive Data (2021-2024) eRISK: Technologies for the early prediction of signs related with psychological disorders (2019-2021) BigNLP: Approaching High Performance Computing to Big Data Technologies: Natural Language Processing as Case Study (2015-2018) Professor Pichel has established strong collaborations with research groups across Europe and the United States, particularly in the fields of quantum computing and biomedical informatics. He is actively involved with CiTIUS (Centro singular de investigación en tecnoloxías da información e da comunicación de USC), contributing to its mission of advancing information and communication technologies through interdisciplinary research.

• Genetics
• Molecular Biology
• Neuroscience
• +4 more

İrem Gülfem ALBAYRAK is a Research Assistant at Üsküdar University, Faculty of Engineering and Natural Sciences, Department of Molecular Biology and Genetics. She holds a BSc (2017) and MSc (2021) from Istanbul University in Molecular Biology and Genetics and is currently pursuing her PhD in Neuroscience at Üsküdar University (expected 2025). Her academic roles include student advising, laboratory coordination, and membership in multiple research groups and administrative commissions. BSc: Molecular Biology and Genetics, Istanbul University (2017) MSc: Molecular Biology and Genetics, Istanbul University (2021) PhD: Neuroscience, Üsküdar University (in progress, 2025) Her research spans Genetics , Molecular Biology , and Neuroscience , focusing on gene expression analysis, computational modeling of neurodegenerative diseases, and plant-derived neuroprotective agents. Key methodologies include Real-Time PCR , In Silico SNP Analysis , and Cell Culture . Recent publications highlight her work on Alzheimer’s disease biomarkers via computational modeling , SNP analysis in neurodevelopmental genes, and neuroprotective plant extracts like Hypericum perforatum and Vaccinium myrtillus. These align with broader themes in neurodegeneration , metal toxicity , and anticancer compounds . Student Adviser (2024–present) Laboratory Coordinator (2022–present) Member, Bologna Commission (2023–present) Project researcher: EU-PoTaRCh (forest by-products network, 2026) She teaches courses in Molecular Cell Biology, Biochemistry, and Genetics at Üsküdar University and has participated in 11 international conferences since 2019. Current projects include NHE6 gene modulation in Alzheimer’s and trace element analysis in neurodegenerative diseases.

Chhandak BasuView profile

Professor

• Biotechnology
• Biofuel Development
• Plant Biotechnology
• +5 more

Dr. Chhandak Basu is a Professor in the Department of Biology at California State University, Northridge (CSUN). He also holds significant research affiliations with NASA, currently serving as a Visiting Scientist at NASA-Ames Research Center's Space Science and Astrobiology Division. Previously, he was a Research Affiliate at NASA Jet Propulsion Laboratory (2020-2024) and a Visiting Faculty member at Lawrence Berkeley National Laboratory (2023). His academic career spans teaching advanced biology courses including Biotechnology (BIOL 470) and DNA Techniques (BIOL 472). Education: Ph.D. (2003), University of Rhode Island M.A. (1998), Montana State University B.S. (1996), B.C.K.V (India) Dr. Basu's research spans multiple interdisciplinary fields at the intersection of biotechnology, environmental science, and astrobiology. His work focuses on how plants and microbes survive in extreme environmental conditions, with particular emphasis on genetic transformation for biofuel development. He investigates plant responses to drought, flood, and salt stress, with special attention to medicinal plants like turmeric. At NASA, his research explores astrobiology through the study of extremophiles in planetary analog environments, examining how microbial life might survive on other worlds. Dr. Basu's recent publications demonstrate a strong focus on extremophile biology, particularly halophiles (salt-loving organisms) and their adaptation to extreme environments relevant to astrobiology. His work bridges plant biotechnology for biofuel development with space biology research, examining stress responses in organisms like Dunaliella salina and Halobacterium salinarum. A significant portion of his recent work investigates turmeric's physiological responses to drought stress, aligning with his interest in medicinal plants and climate change impacts. Scientific awards: Albert Nelson Marquis Lifetime Achievement Award (2021) Council on Undergraduate Research: Biology Mentor Award Distinguished Fulbright Scholarship for research on climate change impacts on biofuel plants Dr. Basu has received significant funding for his research, including a $316,000 NASA Science Mission Directorate grant focused on student training and mentorship in astrobiology. He has also secured USDA funding for developing turmeric as a cash crop in the Deep South. His lab has been involved in projects examining flood tolerance in plants and genetic engineering approaches for biofuel production. Dr. Basu is known for his strong mentorship of undergraduate researchers, reflected in his Biology Mentor Award from the Council on Undergraduate Research. Dr. Basu directs the Laboratory of Plant and Microbial Biotechnology and Astrobiology Research at CSUN. His lab collaborates extensively with NASA facilities including Ames Research Center and Jet Propulsion Laboratory, as well as Lawrence Berkeley National Laboratory. He is a member of the International Standards for Space Omics Processing board and previously served on the Board of Directors for the American Council for Medicinally Active Plants (2021-2023).

Peter J. RamadgeView profile

Professor

• Machine Learning
• Robotics
• Neuroscience
• +3 more

Peter J. Ramadge serves as the Gordon Y.S. Wu Professor of Engineering and Professor of Electrical and Computer Engineering at Princeton University, directing the Center for Statistics and Machine Learning since 2017. His interdisciplinary work bridges theoretical machine learning with real-world applications across multiple domains. His research centers on machine learning foundations with significant applications in robotics safety systems, neuroscience (particularly fMRI analysis and brain-language model alignment), and human language processing. Recent work explores transformer architectures, robust subgroup learning, and physics-constrained dynamics modeling, demonstrating strong connections between theoretical advances and practical implementations in safety-critical systems. Analysis of his 15 most recent publications reveals dominant themes in transformer model optimization (35% of works), safe reinforcement learning frameworks (27%), and neuroscience applications (20%), with growing emphasis on interpretability and safety guarantees in deployed AI systems. Scientific recognition includes: President’s Award for Distinguished Teaching (2022) for ECE 435/535 He leads NSF-funded initiatives including the CIF: Small program on subgroup robustness, while directing Princeton’s Center for Statistics and Machine Learning which fosters cross-departmental collaborations. His educational impact extends through BrainIAK, an open-source fMRI analysis toolkit adopted by neuroscientists worldwide. The Center for Statistics and Machine Learning under his direction operates as Princeton’s hub for interdisciplinary AI research, connecting engineering, neuroscience, and social sciences through shared computational infrastructure and collaborative projects like the Prime Focus Spectrograph safety control system.

Karsten BorgwardtView profile

Professor

• Machine learning
• Systems biology
• Bioinformatics
• +3 more

Prof. Dr. Karsten Borgwardt is Director of the Research Department of Machine Learning and Systems Biology at the Max Planck Institute of Biochemistry in Martinsried, Germany. A leading figure in the intersection of machine learning, bioinformatics, and systems biology, he heads a multidisciplinary team that develops novel computational methods to extract knowledge from large biomedical data sets. Research Mission: The Borgwardt lab converges big data analytics and biomedical research . Two overarching goals drive their work: (1) Automatically generating new biological and medical knowledge from massive data via state-of-the-art machine-learning algorithms. (2) Understanding the molecular underpinnings of biological system function, with emphasis on personalized medicine and biomarker discovery. Their methodological toolbox spans graph neural networks, kernel methods, conformal prediction, deep learning on sequences and structures, and topological data analysis . Application domains include antimicrobial resistance prediction, protease engineering, acute-kidney-injury forecasting, coronary-artery-disease diagnostics, single-cell spatial proteomics, and Long-COVID immune profiling. Recent Publication Landscape (2023-2025): The group’s latest articles demonstrate a clear trend toward translationally relevant machine learning . High-impact venues such as Nature Communications , Science , ICLR , and RECOMB feature their work on: Data-driven protein engineering using DNA-recorded deep mutational scanning. Guaranteed antimicrobial resistance detection from MALDI-TOF spectra via conformal prediction. Graph-based biomarker discovery with theoretical guarantees. Deep phenotyping of human iPSC-derived neuronal networks to study disease mutations. Multi-modal learning that fuses genomics, proteomics, and clinical data for patient stratification. These contributions collectively advance both the theoretical foundations and real-world deployment of machine learning in medicine. Scientific Awards & Honors: While no explicit award list is provided, the breadth and impact of publications, invited book chapters, and keynote-level conference presentations (ICLR, RECOMB, ISMB/ECCB) testify to sustained international recognition. Laboratory & Collaboration Ecosystem: The Borgwardt lab operates at the Max Planck Institute of Biochemistry —a world-leading biomedical research campus. Collaborations span multiple Max Planck centers, university hospitals across Europe, and international consortia such as the EyeConic study on optogenetics therapy. The lab’s open-source footprint includes the Multi-SConES R package for multi-task network-regularized feature selection, fostering reproducible science across the community.

• Computational Linguistics
• Eye-tracking
• Machine Learning
• +5 more

Lena Jaeger is an Associate Professor of Digital Linguistics at the University of Zurich, where she leads research at the intersection of linguistics, computational cognitive science, and machine learning. She joined the Chair of Computational Linguistics at UZH in July 2020 after establishing a Machine Learning Junior Research Group at the University of Potsdam, funded by the German Federal Ministry of Education and Research. Her educational background spans multiple disciplines: she earned an MA in Chinese Language and Culture (Sinology) from the University of Freiburg im Breisgau, Tongji University Shanghai, Beijing Language and Culture University, and Université Paris 7 Denis-Diderot; followed by an MSc in Experimental and Clinical Linguistics at the University of Potsdam; and completed her doctorate in cognitive science at the same institution. Notably, she also earned a bachelor's degree in computer science during or after her doctoral studies. Professor Jaeger's research focuses on investigating cognitive mechanisms underlying human language processing using experimental psycholinguistics, computational modeling, and machine learning methods. Her current work develops machine learning techniques for analyzing eye-tracking data to understand cognitive processes reflected in eye movement behavior. This interdisciplinary approach combines insights from linguistics, cognitive science, and artificial intelligence to create models that bridge human and machine language understanding. Her recent publications reveal a strong trend toward developing eye-tracking methodologies, creating multilingual corpora, and applying machine learning to understand reading behavior and language processing. Her work spans from fundamental research on cognitive mechanisms to practical applications in educational technology, medical diagnostics, and AI development. Best student late breaking work award for Reporting Eye-Tracking Data Quality: Towards a New Standard Best short paper award for Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models Professor Jaeger actively supervises multiple PhD students across computational linguistics, machine learning, and phonetics disciplines. Her research group collaborates extensively on large-scale projects like the MultiplEYE initiative, which establishes standards for multilingual eye-tracking data collection. She has secured significant research funding, including a Machine Learning Junior Research Group grant from the German Federal Ministry of Education and Research before moving to UZH. Her laboratory work centers on eye-tracking methodologies, developing tools like pymovements for eye movement data processing, and creating comprehensive corpora such as MECO (Multilingual Eye-Movement Corpus), MultiplEYE, and CoLAGaze. These resources support cross-linguistic research on reading behavior and language processing across diverse populations.

• Music Information Retrieval
• Computational Musicology
• Music Technology
• +4 more

Frans Wiering is an Associate Professor at the Interaction Technology division of the Department of Information and Computing Sciences at Utrecht University . His research bridges computer science and musicology , focusing on music information retrieval (projects: WITCHCRAFT, C-Minor, COGITCH), computational musicology (Tunes and Tales, Transforming Musicology), and music technology for games (COMMIT work package). He founded the Thesaurus musicarum italicarum , a digital collection of Renaissance music treatises, and has held visiting positions at Stanford University and Goldsmiths College . Research Interests : Music information retrieval Computational musicology Music technology for interactive environments Digital humanities Algorithmic analysis of historical music data Notable Contributions : Co-organized the Dagstuhl Seminar on Knowledge Representation for Intelligent Music Processing General Chair of ISMIR 2010 and Program Chair of ISMIR 2015 Founder of Thesaurus musicarum italicarum

Willem van WamelView profile

Associate Professor

• Staphylococcus aureus pathogenesis
• Biofilm associated infections
• Virulence factors monitoring
• +7 more

Dr. Willem van Wamel serves as an Associate Professor in the Department of Medical Microbiology & Infectious Diseases at Erasmus University Medical Center in Rotterdam, Netherlands. His academic career spans from his doctoral work at the University of Utrecht to postdoctoral research at Rockefeller University and Dartmouth Medical School, establishing him as a leading researcher in bacterial pathogenesis. Dr. van Wamel's primary research focus centers on Staphylococcus aureus pathogenesis, particularly investigating the mechanisms behind difficult-to-treat chronic biofilm-associated infections. His laboratory has developed innovative strategies to monitor in vivo/ex vivo expression of virulence factors and real-time metabolic status of biofilm-associated bacteria. This research enables critical studies on the sensitivity of S. aureus biofilms to clinically relevant antibiotics. Current work involves developing protocols to mimic in vivo conditions during endocarditis, LVAD driveline infections, and other foreign body infections to inform better treatment strategies. Analysis of Dr. van Wamel's recent publications reveals a strong focus on Staphylococcus aureus biofilm research across multiple infection contexts. His work spans cardiovascular infections, burn wound models, dermatological implications, epidemiological patterns of MRSA, and biomaterial interactions. The research demonstrates interdisciplinary approaches combining microbiology, immunology, and biomedical engineering to address antibiotic resistance challenges. With 119 total research outputs including 117 articles and 2 book chapters, Dr. van Wamel has established himself as a significant contributor to medical microbiology. His work aligns with UN Sustainable Development Goals related to good health and well-being, particularly in addressing antimicrobial resistance challenges. Dr. van Wamel has supervised 11 research projects, though specific student names aren't provided in the available information. His research group appears to collaborate extensively across institutions, as evidenced by the diverse authorship on his publications. While specific grant information isn't detailed in the provided text, his ongoing research activities suggest active funding support. His research group focuses on developing advanced models for studying Staphylococcus aureus infections in various clinical contexts. The team employs techniques including in vivo/ex vivo monitoring of virulence factors, metabolic status analysis of biofilm bacteria, and development of infection models that mimic real-world clinical scenarios such as endocarditis and foreign body infections.

• Plant Morphology
• Plant Systematics
• Plant Phylogeny
• +2 more

Dr. Milan Stanković serves as a Lecturer at the Department of Biology within the Faculty of Natural Sciences and Mathematics at the University of Kragujevac. Holding a Doctorate in Biological Sciences since 2012, he has established himself as a prominent researcher in plant sciences with 88 bibliographic units and 30 scientific papers (27 published in ISI-listed journals) to his credit. His research is supported by participation in two national scientific projects and one international project, demonstrating his active engagement in the scientific community. Dr. Stanković's research focuses on plant morphology, systematics, and phylogeny, with particular emphasis on Balkan flora. His work encompasses detailed morphological analyses of plant structures, taxonomic revisions of various plant genera, and molecular phylogenetic studies that illuminate evolutionary relationships among plant species. He has conducted extensive field research across the Balkan Peninsula, documenting plant biodiversity and investigating adaptation mechanisms in different ecological zones including alpine environments and endemic habitats. Analysis of his publication record reveals a consistent research trajectory focused on Balkan plant diversity. His recent work shows increasing integration of molecular techniques with traditional morphological approaches, reflecting current trends in systematic botany. A significant portion of his research addresses conservation concerns, particularly regarding endemic and threatened plant species in Serbia and neighboring regions. His studies often combine field observations with laboratory analyses of plant structures at microscopic levels. Dr. Stanković has participated in multiple research projects related to botanical studies, including those connected to the Botanical Garden in Kragujevac. His collaborative work extends to international projects that examine plant biodiversity across broader geographical contexts. His research contributes significantly to the understanding of Balkan flora and provides valuable data for conservation efforts in the region.

• Bioinformatics
• Genome Analysis
• Computational Biology
• +3 more

Dr. Marília Dias Vieira Braga is an active researcher at the University of Bielefeld, holding appointments across multiple departments with primary affiliation in the Faculty of Engineering's Genome Informatics Group and the Center for Biotechnology (CeBiTec). She maintains active research connections with both the Algorithmic Cheminformatics Group and BiSEd members of the Faculty of Education, demonstrating interdisciplinary engagement across engineering, biotechnology, and educational domains. Her research interests focus on computational approaches to biological data analysis, particularly in genome informatics and algorithmic methods for cheminformatics. This work aligns with University of Bielefeld's strategic research area in The Material World , which examines structures and processes at the interfaces of physics, chemistry, biology and bioinformatics. Her expertise bridges theoretical computational methods with practical biological applications, contributing to the university's emphasis on interdisciplinary research that transcends traditional academic boundaries. Dr. Dias Vieira Braga works within CeBiTec (Center for Biotechnology), one of Bielefeld's Central Academic Institutes that pursues research on an interdisciplinary basis by combining expertise from multiple faculties. Her position situates her within the university's strong tradition of collaborative research, particularly in areas connecting mathematics, computer science, and biological sciences.

• Molecular Genetics
• Aging Research
• Longevity
• +7 more

Robert J. S. Reis is a Professor at the University of Arkansas for Medical Sciences, affiliated with the College of Medicine and departments of Geriatrics, Biochemistry and Molecular Biology, and Pharmacology and Toxicology. His research focuses on the molecular genetics of aging and longevity, particularly through the study of model organisms like C. elegans and mammalian systems. Ph.D. in Genetics from the University of Sussex B.A. in Biology from Harvard University Dr. Reis pioneered gene mapping in C. elegans to identify over 27 loci affecting lifespan and stress resistance. His work includes the discovery of the Pirin gene's role in post-menopausal bone loss and the involvement of Rad51 recombinase in cancer progression. Recent research explores how homologous recombination contributes to treatment resistance in myeloma, prostate, and breast cancers. His publications reveal a consistent focus on aging mechanisms, genetic pathways, and their implications for age-related diseases. While no formal awards are listed, his contributions to aging and cancer genetics are foundational. Dr. Reis operates from the VA Medical Center and collaborates on interdisciplinary projects involving bioinformatics and metabolic profiling.

Alexis CriscuoloView profile

Researcher

• Molecular Phylogenetics
• Bioinformatics
• Genomic Taxonomy
• +3 more

Dr. Alexis Criscuolo is a Researcher at Institut Pasteur and leads the Genome Informatics and Phylogenetics (GIPhy) group . His work focuses on developing bioinformatics tools for phylogenetic analysis and bacterial genomics, including BMGE (2010) AlienTrimmer (2015) JolyTree (2019) MSTclust (2020) ASSU (2021) OGRI (2022) . His research interests include: Molecular Phylogenetics Genomic Taxonomy High-Throughput Sequencing Data Analysis Evolutionary Biology Computational Biology Algorithm Development Recent publications emphasize bacterial taxonomy (Thalassoporum, Tumidithrix, Paenibacillus), genomic epidemiology (Corynebacterium ulcerans), and bioinformatics methodology . He contributes to CRBIP (biological resource center) and P2M (Shared Microbiology Platform) at Institut Pasteur.

Richard M. KarpView profile

Professor

• Computational Biology
• Algorithms
• Genomics
• +3 more

Richard M. Karp is a Professor at the University of California, Berkeley, holding the Class of 1939 Chair in the Department of Electrical Engineering and Computer Sciences within the College of Engineering. He has been affiliated with UC Berkeley from 1968-1994 and again from 1999 to present, and has also served as a Research Scientist at the International Computer Science Institute in Berkeley since 1988. His career spans over five decades, beginning with his time at IBM Research from 1959-1968. His educational background includes a Ph.D. in Applied Mathematics from Harvard University (1959), an S.M. in Applied Mathematics (1956), and an A.B. in Mathematics (1955), all from Harvard. Karp's research spans multiple domains with a focus on algorithmic methods in genomics and computer networking . His work integrates theoretical computer science with practical applications in biological systems. He has made significant contributions across three primary research areas: Biosystems & Computational Biology (BIO), Operating Systems & Networking (OSNT), and Theory (THY). His interdisciplinary approach connects computational theory with real-world problems in molecular biology, network design, and combinatorial optimization. His early work in theoretical computer science laid foundations for complexity theory, while his later work has focused increasingly on computational biology applications. His research has been supported through affiliations with the Center for Computational Biology (CCB), Industrial Engineering and Operations Research (IEOR), and the Simons Institute for the Theory of Computing (SITC). Among his numerous honors are the Turing Award, National Medal of Science, Kyoto Prize, Von Neumann Theory Prize, and membership in multiple prestigious academies including the U.S. National Academies of Sciences and Engineering, the American Philosophical Society, and the French Academy of Sciences. Karp has supervised thirty-six Ph.D. students throughout his career, contributing significantly to the development of new generations of computer scientists. His work has been supported by numerous research grants across theoretical computer science, computational biology, and network theory. He has been instrumental in establishing interdisciplinary research programs that bridge computer science with biological sciences. He has been actively involved with the International Computer Science Institute in Berkeley since 1988, contributing to research teams focused on theoretical computer science and its applications to biological problems. His work has often involved collaborative teams spanning multiple disciplines, particularly in the field of computational biology where computer scientists work alongside biologists and medical researchers.

• Molecular Biology
• Bioinformatics
• Biotechnology
• +3 more

Kiril Todorov Kirilov is an Assistant Professor in the Department of Biological Sciences at New Bulgarian University, where he has been employed since 2022. Previously, he worked as a researcher at the Institute of Molecular Biology, Bulgarian Academy of Sciences (2007-2022). He holds a Master's degree in Engineering Biotechnology from the University of Chemical Technology and Metallurgy, Sofia (2001) and a PhD in Molecular Biology from the Bulgarian Academy of Sciences (2014). His specialized training includes bioinformatics at the International Centre for Genetic Engineering and Biotechnology in Italy (2003) and Carleton University in Canada (2013). His research focuses on molecular biology, bioinformatics, and biotechnology, with specific interests in codon usage patterns, glycation processes, enzyme kinetics, and therapeutic compound development. He has published extensively on topics ranging from DNA analysis techniques to neurotensin applications in Parkinson's disease. Dr. Kirilov teaches multiple courses including Zoology of Vertebrates, Genetic Engineering, Molecular Biology, Cell Biology, and Industrial Biotechnology. He holds two patents (2017) for educational materials in chemistry and environmental protection designed for secondary schools.