Find Academic Supervisors

• Non-protein coding RNAs (ncRNAs)
• RNA structure biology
• Next-generation sequencing
• +5 more

Ernst Stefan Seemann serves as an Associate Professor in the Department of Veterinary and Animal Sciences within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on non-protein coding RNAs (ncRNAs) and RNA structure functionality, utilizing advanced methodologies including RNA structure modeling, prediction of RNA-RNA and protein-RNA binding, and analysis of next-generation sequencing data. His primary research interests encompass: Non-protein coding RNAs (ncRNAs) and RNA structure biology Next-generation sequencing and single-cell RNA-seq analysis Comparative genomics and prediction/annotation of ncRNAs Host-pathogen RNA interactions Stem cell models for neurodegenerative diseases Seemann is actively involved in multiple high-impact research initiatives including investigations of novel ncRNAs in bacteria (NextProd project), animal ncRNAs (FAANG consortium), host-virus RNA-RNA interactions with Assoc Prof Troels KH Scheel, single-cell RNA sequencing in neurogenesis studies with Assoc Prof Vanessa J Hall, and transcriptomics in stem cell models for neurodegenerative diseases (NeuroStem project). His publication record demonstrates strong interdisciplinary collaboration across computational biology, veterinary science, and medical research. His scientific contributions span environmental microbiology, gene therapy, neuroscience, and computational biology, with recent work focusing on CRISPR applications, CAR T-cell engineering, microglial metabolism in dementia, and metabolic engineering of bacterial systems. His research has been cited across multiple platforms including academic journals, Mendeley readership, Wikipedia, and news outlets.

Pavel SumazinView profile

Professor

• Computational Biology
• Genomics
• Molecular Profiling
• +3 more

Pavel Sumazin is a Professor in the Department of Pediatrics at Baylor College of Medicine. He holds additional affiliations with the Dan L Duncan Comprehensive Cancer Center and the Quantitative and Computational Biosciences program at Baylor. His research focuses on computational and molecular analyses of cancer genomics, particularly in pediatric tumors. Major areas include non-coding RNA regulation, gene expression networks, and functional interpretation of genomic variants in cis and trans contexts. His work bridges computational biology with experimental validation to identify cancer driver genes and therapeutic targets. Recent publications highlight his expertise in lncRNA-target interactions, radiosensitivity prediction in pancreatic cancer, and innovative CAR T-cell therapies for solid tumors. His laboratory develops computational models for bulk RNA-Seq deconvolution and investigates metabolic vulnerabilities in neuroblastoma and leukemia. Prof. Sumazin's work has contributed to understanding tumor heterogeneity in hepatoblastoma, mechanisms of chemotherapy resistance in pediatric AML, and safety concerns in CRISPR/Cas9 gene therapy. His methodologies integrate machine learning with experimental validation for clinical applications.

Eva KlopockiView profile

Professor

• Human Genetics
• Rare Diseases
• Copy Number Variations (CNVs)
• +4 more

Professor Eva Klopocki serves as a Professor of Human Genetics at the Institute of Human Genetics within the Biocenter of the University of Würzburg. Her research group focuses on the genetic basis of congenital malformations, particularly limb and craniofacial abnormalities. She has established herself as a leading researcher in copy number variations (CNVs) and their role in human disease pathogenesis. Dr. Klopocki completed her biology studies at the University of Ulm (1994-2000), earned her doctorate in biology from the Free University of Berlin (2004), and obtained a part-time MBA in Biotechnology and Medical Engineering from the University of Potsdam (2005-2007). Prior to her current position, she led a research group at Charité University Medicine Berlin (2003-2012) and headed the Array-CGH Laboratory there (2006-2012). Her research program investigates how copy number alterations (CNVs) contribute to congenital malformations and rare diseases. She employs molecular karyotyping/microarray-based comparative genomic hybridization (array CGH) for genome-wide screening of CNVs. Her work spans multiple projects including the BMBF-funded FACE network studying craniofacial malformations, Philadelphia-type craniosynostosis research, and investigations into congenital limb malformations. Her team utilizes model systems such as zebrafish and mice to functionally validate genetic findings. Analysis of her publication record reveals consistent focus on non-coding regulatory elements in human disease, with recent work expanding into zebrafish modeling, induced pluripotent stem cell systems, and advanced genomic diagnostics. Her research bridges basic science with clinical applications, particularly in rare disease diagnosis. German Society for Human Genetics award European Society for Human Genetics award Professor Klopocki leads multiple research collaborations including the BMBF-funded FACE network for craniofacial malformations involving partners in Berlin, Essen, Freiburg, Cologne, and Tübingen. Her work on craniosynostosis involves collaboration with the Department of Neurosurgery and Pediatric Neurosurgery at the University of Würzburg. Her research group actively recruits patients with primary craniosynostosis and congenital limb malformations for genomic studies. Her laboratory employs array CGH analyses for genome-wide detection of CNVs, followed by whole-exome sequencing when necessary. Functional validation utilizes RNA in situ hybridization, immunohistochemical staining, and animal models including zebrafish for limb development studies. Her team has developed specialized custom arrays covering non-coding genomic regions with potential regulatory functions for genes involved in craniofacial development.

Serkan GöktunaView profile

Assistant Professor

• Colorectal Cancer
• Inflammatory Signaling Pathways
• Tumor Microenvironment
• +7 more

Serkan Göktuna is an Assistant Professor in the Department of Molecular Biology and Genetics at Bilkent University. His research focuses on the interplay between inflammatory signaling pathways and cancer development, using mouse models and molecular biology techniques. Education: B.Sc. in Molecular Biology & Genetics (Middle East Technical University, 2003), M.Sc. in Biological Sciences & Bioengineering (Sabancı University, 2005), Ph.D. in Human Biology (Technical University of Munich, 2010) Research Interests center on understanding how inflammatory signaling pathways regulate tumor development and dissemination in colorectal cancers. His work explores cytokine signaling, microbiota interactions, and inflammatory bowel disease models to uncover therapeutic mechanisms independent of tumor stage or chemotherapeutic resistance. Publications include high-impact studies in Cell , Nature Communications , and Cancer Research , focusing on IKK family kinases, Wnt signaling, and tumor-immune cell interactions. His research integrates in vivo and in vitro models to investigate molecular mechanisms driving oncogenesis. Scientific Awards : TÜBA GEBİP Award (2016) Bilim Akademisi BAGEP Award (2017) TÜBİTAK 2232 Installation Fellowship (2016-2018) Research Projects include three TÜBİTAK-funded projects studying inflammatory signaling in cancer. His lab employs techniques like flow cytometry, CRISPR/Cas9 gene editing, and organoid cultures to analyze tumor-immune interactions.

• Bioinformatics
• Computational Biology
• RNA Biology
• +5 more

Chao Zeng is an Associate Professor at Waseda University’s Research Institute for Science and Engineering, affiliated with the School of Advanced Science and Engineering. He holds a PhD in Science from the University of Tokyo (2016) and a Master’s in Information Science from Kyoto University (2013). His research integrates computational biology and RNA genomics, focusing on non-coding RNAs, RNA localization mechanisms, and repetitive genetic elements. Dr. Zeng’s work spans bioinformatics algorithm development , RNA structure-function relationships , and transcriptomic regulation in disease . Key interests include lncRNA interactions with ribosomes, phase separation of RNA, and RNA-binding protein networks. His lab employs high-throughput sequencing, machine learning, and comparative genomics to decode RNA regulatory systems across species. His publications emphasize RNA biology in cancer and fibrosis , with recent work exploring mitotic RNA editing, inflammatory recovery pathways, and RNA quality control. Article analyses reveal consistent themes: lncRNA mechanisms (35%), RNA-protein interactions (25%), computational methods (20%), splicing/localization (15%), and translational applications (5%). Awards & Grants: Waseda University Teaching Award (2022) JSPS Grants: PI for ‘Repetitive Elements in Genome Regulation’ (2022-2025) and ‘lncRNAs in Genetic Compensation’ (2020-2022) Co-investigator for Phase Separation Research (2023-2026) and Cancer RNA Mechanisms (2021-2023) He leads the RNA Bioinformatics group at Waseda, collaborating with the Hamada Lab and international teams. Future work targets RNA-based therapeutics and multi-omics integration for disease modeling.

• RNA therapeutics
• Artificial Intelligence
• probabilistic model
• +10 more

Michiaki Hamada is a Professor at Waseda University's Faculty of Science and Engineering, School of Advanced Science and Engineering. He also serves as President of the Japanese Society for Bioinformatics (since April 2024) and holds visiting positions at the National Institute of Advanced Industrial Science and Technology and Nippon Medical School's Graduate School of Medicine. His research laboratory focuses on bioinformatics with particular emphasis on functional RNA, epigenetics, and RNA drug discovery. Ph.D. in Science from Tokyo Institute of Technology (2009) Master's in Mathematics from Tohoku University (2002) Bachelor's in Mathematics from Tohoku University (2000) Professor Hamada's research spans multiple areas of bioinformatics, with particular focus on RNA biology, machine learning applications in sequence analysis, and computational approaches to drug discovery. His work bridges computational methodologies with biological applications, developing tools for RNA structure prediction, aptamer design, and genome analysis. His laboratory has made significant contributions to understanding RNA-protein interactions, transposable element biology, and the application of deep learning to RNA engineering problems. His recent publications demonstrate a strong focus on applying machine learning and deep learning techniques to RNA-related problems, including RNA aptamer generation, RNA structure prediction, and RNA therapeutic development. His research group has developed several computational tools like RaptGen for aptamer design, DeepRaccess for RNA accessibility prediction, and REPrise for repeat detection. His work shows a consistent pattern of developing computational methods with direct biological applications, particularly in the areas of RNA therapeutics and genome analysis. Okuma Memorial Academic Award (Encouragement Award) 2024.11 Waseda University Teaching Award 2023.07 Waseda University Next Generation Core Researchers 2022 Waseda University Research Award for International Research Dissemination 2021.12 MEXT Young Scientists' Award 2017.04 National Institute of Advanced Industrial Science and Technology President's Award (Research) 2016.04 As Principal Investigator, Professor Hamada has led numerous competitive research projects including multiple KAKENHI grants (Young Researcher, Challenging Exploratory Research, New Academic Fields), CREST programs, and industry collaborations. He actively contributes to the bioinformatics community through leadership roles, including serving as President of the Japanese Society for Bioinformatics and organizing joint symposia between Waseda University and Nippon Medical School. His laboratory maintains strong collaborations with both computational and experimental groups, facilitating the translation of computational methods into biological applications. Professor Hamada leads the Hamada Laboratory (hamadalab.com), which focuses on developing computational tools for RNA analysis and design. His group maintains active collaborations with researchers at Nippon Medical School, AIST, and other institutions, creating a strong interdisciplinary research environment. The laboratory has developed several widely-used bioinformatics tools and maintains an active publication record in high-impact journals across computational biology, genomics, and RNA research fields.

Miguel AndradeView profile

Professor

• Bioinformatics
• Protein Sequence Analysis
• Tandem Repeats
• +3 more

Miguel Andrade is a Professor in the Faculty of Biology at the University of Mainz and serves as Adjunct Director at the Institute of Molecular Biology (IMB) since 2014. Previously, he was a Group Leader at the Max Delbrück Center for Molecular Medicine (2007-2014) and Assistant Professor at the University of Ottawa (2003-2007). His research focuses on computational analysis of protein sequences, particularly tandem repeats and low complexity regions, with applications in neurodegenerative diseases like Huntington's. His educational background includes: PhD in Biochemistry from Universidad Complutense de Madrid (1994) Professor Andrade's research spans bioinformatics and computational biology with emphasis on protein sequence evolution, structural implications of repetitive elements, and development of analytical tools. He investigates how tandem repeats and low complexity regions influence protein folding, aggregation, and interactions in diseases, while exploring evolutionary conservation across species. His work bridges computational methodologies with experimental validation in neurodegenerative contexts. Recent publications (2023-2025) demonstrate consistent innovation in protein sequence analysis, featuring computational tools for homorepeat detection, machine learning applications in proteomics, and multi-omics integration. Key themes include neurodegenerative disease mechanisms, immune system regulation, and evolutionary adaptations, with significant contributions to databases like RepeatsDB and tools such as REP2 and seqQscorer. No scientific awards were documented in the source materials. While specific student names and grant details are unlisted, his leadership at IMB indicates supervision of graduate researchers and postdoctoral fellows. His collaborative network spans immunology, cancer research, and neuroscience, evidenced by co-authorship on diverse projects from lipid-disease associations to T-cell differentiation studies. He directs a research group at IMB Mainz focused on computational genomics, developing algorithms for protein sequence analysis and maintaining community resources. The team actively investigates polyglutamine dynamics in neurodegeneration and applies machine learning to proteome-wide challenges, maintaining strong ties with experimental laboratories for biological validation.

Claus O. WilkeView profile

Professor

• Computational Biology
• Molecular Evolution
• Protein Biochemistry
• +6 more

Claus O. Wilke is a Professor and holds the Jane and Roland Blumberg Centennial Professorship in Molecular Evolution at The University of Texas at Austin, with appointments in the Department of Integrative Biology, Statistics and Data Sciences, and Interdisciplinary Life Sciences Graduate Programs. Wilke earned his PhD in Theoretical Physics from Ruhr-University Bochum, Germany, and completed postdoctoral training with Chris Adami at Caltech. His research focuses on computational evolutionary biology, bioinformatics, and biostatistics, with particular emphasis on molecular evolution (virus evolution and protein evolution biophysics), systems biology, and bacterial physiology. His work bridges theoretical approaches with biological applications through frequent collaborations with experimental groups. Wilke has made significant contributions to data visualization through his R packages including cowplot, ggridges, and ggtext, and as a core contributor to ggplot2. His 2019 book Fundamentals of Data Visualization has become a standard reference in the field, providing comprehensive guidance on effective visualization principles and techniques. Fellow, American Association for the Advancement of Science (AAAS) (2023) Fellow, American Physical Society (APS), Division of Biological Physics (2019) Kavli Frontiers of Science Fellow (2013) Leading Texas Innovator by The Academy of Medicine, Engineering, and Science of Texas (TAMEST) (2011) Teaching Excellence Award, College of Natural Sciences, UT Austin (2010) His nearly 200 publications demonstrate consistent productivity across computational biology, molecular evolution, and data visualization. Wilke leads The Wilke Lab at UT Austin, which provides research opportunities for graduate students and postdoctoral researchers interested in computational approaches to evolutionary questions. Beyond research, he maintains an active blog discussing data visualization techniques, R programming, and scientific computing best practices.

Davide SeruggiaView profile

Adjunct Professor

• Chromatin Biology
• Genome Editing
• Pediatric Cancer Research
• +3 more

Davide Seruggia is an Adjunct Professor at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and Principal Investigator at St. Anna Children’s Cancer Research Institute (CCRI), Vienna, Austria. His career spans institutions including Boston Children’s Hospital, Harvard Medical School, and the National Center for Biotechnology (CNB-CSIC), Madrid. Dr. Seruggia obtained his PhD in Molecular Biology from CNB-CSIC (2014) and specialized in chromatin biology, genome editing, and pediatric leukemia during postdoctoral work at Boston Children’s Hospital (2015–2021). He was promoted to Instructor in Pediatrics at Harvard Medical School (2019) and secured an ERC Starting Grant (2020) to launch his independent group. Research Focus His laboratory investigates: Non-coding regulatory sequences (enhancers, insulators) in pediatric leukemia 3D genome architecture and drug resistance mechanisms TFIID/SAGA chromatin complex roles in MYC-driven cancers CRISPR-based functional genomics and computational biology approaches Translational implications for targeted therapies in hematologic malignancies Recent Publications Dr. Seruggia’s work on enhancer dependence in gene regulation (2020), SAGA complex vulnerabilities in leukemia (2025), and HDAC1 roles in immune-oncology (2025) highlights his expertise in cross-disciplinary cancer research. His CRISPR-CLEAR methodology (2024) enables high-resolution mapping of regulatory elements. Awards & Funding ERC Starting Grant (2020) WES Foundation grant Pedals for Pediatrics funding Students & Collaborators His team includes postdoctoral fellows (Paul Batty, Ana Patricia Kutschat), predoctoral students (Hannah Beneder, Leonie Lehmayer, Sandra Wittibschlager), a diploma student (Carlos Roche), and technical staff (Gerlinde Karbon, Sophie Müller).

Edward A. LemkeView profile

Professor

• Intrinsically Disordered Proteins
• Neurodegenerative Diseases
• Nucleocytoplasmic Transport
• +7 more

Edward A. Lemke is a Professor at Johannes Gutenberg University Mainz (JGU), jointly appointed in the Departments of Biology and Chemistry. He serves as Adjunct Director at the Institute of Molecular Biology (IMB) and Visiting Group Leader at EMBL Heidelberg, focusing on intrinsically disordered proteins (IDPs) and their roles in neurodegenerative diseases and essential biological processes like nucleocytoplasmic transport. Education : PhD in Membrane Biophysics (Max Planck Institute/University of Göttingen, 2005), MSc (University of Oklahoma, 2001), Diploma (Technical University of Berlin, 2001) His research pioneers interdisciplinary methods combining synthetic biology, chemical biology, and advanced microscopy to study dynamic protein systems. He has developed novel fluorescence and labeling tools to overcome limitations in analyzing the "dark proteome" of IDPs. Recent work highlights RNA pseudouridylation in designer organelles, SAXS rulers for IDP analysis, and visualizing nuclear transport machinery. His lab's innovations span genetic code expansion, microfluidics, and super-resolution imaging. Scientific Awards : EMBO Member (2022), ERC Advanced Grant (2020), Gutenberg Research Fellow (2018), FEBS Anniversary Award (2017), and multiple competitive grants/awards since 2001 As co-founder of Araxa/Veraxa Biosciences and spokesperson for DFG Priority Program 2191, Lemke bridges academic research and biotechnology commercialization. His lab continues advancing tools for studying complex biological systems.

• Molecular Biology
• Cell Biology
• DNA-Protein Interactions
• +2 more

Dr. Benoît Leblanc serves as a Lecturer in the Department of Biology at Université de Sherbrooke, leveraging extensive research experience from postdoctoral fellowships at EMBL Heidelberg, Université Laval, and NIH Bethesda to inform his teaching in molecular and cellular biology. His educational trajectory includes: B.Sc. in Biology, Université du Québec à Rimouski (1986) Ph.D. in Molecular and Cellular Biology, Université Laval (1993) Postdoctoral Fellow, EMBL Heidelberg (1993-1995) Postdoctoral Fellow, Université Laval (1995-1996) Postdoctoral Fellow, NIH Bethesda (1996-2001) Research expertise centers on DNA-protein interactions , chromatin structure , and ribosomal DNA organization , with methodological contributions to DNAse I footprinting and DNA supercoiling analysis. His work bridges biochemical techniques and genomic applications, emphasizing practical laboratory protocols for studying nucleic acid dynamics. Scholarly output from 2009-2015 features book chapters in Methods in Molecular Biology and co-edited volumes on DNA-protein interaction protocols, demonstrating consistent focus on methodological rigor rather than primary research articles in recent years. As a contract lecturer, his primary commitment is undergraduate and graduate instruction within the Department of Biology. No current research grants, laboratory facilities, or student supervision roles are documented, though his historical research background provides substantial depth for teaching advanced molecular techniques.

Chris John PotterView profile

Professor

• Neuroscience
• Olfaction
• Insect Neurobiology
• +3 more

Dr. Chris John Potter is a Professor of Neuroscience at Johns Hopkins University School of Medicine, where he has been faculty since 2010. His research program investigates neural mechanisms of olfaction in disease-transmitting insects, particularly malaria mosquitoes. Dr. Potter leads the Christopher Potter Lab, developing genetic tools like the Q-system to study sensory processing and behavior. Education: Ph.D. in Genetics, Yale University (2002) B.A. in Molecular and Cell Biology, University of California, Berkeley (1996) Postdoctoral Fellowship in Neuroscience, Stanford University (2010) Research focuses on: Neural circuit basis of olfactory behaviors in Drosophila and mosquitoes Development of genetic tools for neural manipulation Chemosensory mechanisms guiding mosquito host-seeking and oviposition Translational applications for vector-borne disease control Recent publications emphasize mosquito neurobiology, genetic tool development, and olfactory coding mechanisms. His work consistently integrates molecular genetics with systems neuroscience approaches. Honors and Awards: NIH R21 Grants (NIAID 2018, NINDS 2015) Johns Hopkins Discovery Award (2017) Malaria Research Institute Pilot Award (2015) Whitehall Foundation Grant (2011) Damon Runyon Fellowship (2003) The Potter Lab ( potterlab.johnshopkins.edu ) develops transgenic approaches to study sensory processing. Current projects investigate mosquito olfactory circuits using calcium imaging, single-cell sequencing, and behavioral assays. Dr. Potter collaborates with public health researchers to translate basic discoveries into vector control strategies.

• Epigenetics
• Chromatin Biology
• Environmental Epigenetics
• +4 more

Daphne Selvaggia Cabianca is a Group Leader at the Cabianca Lab , affiliated with Helmholtz Munich under the Functional Epigenetics (IFE) group . Her research focuses on understanding how environmental inputs modulate chromatin state, spatial organization, and function using the model organism C. elegans . Research Interests Epigenetic responses to environmental stress Chromatin 3D organization and gene regulation Nutrient and temperature effects on chromatin Stress memory mechanisms Key Techniques CRISPR-Cas9 genetic editing ChIP, DamID, ATACseq RNAseq and organismal stress assays Her work explores the interplay between environmental stimuli and chromatin dynamics across life stages, from development to aging. This research has implications for diseases like obesity, type 2 diabetes, and cancer with strong environmental links. Recent publications highlight her contributions to understanding fasting-induced chromatin reorganization, ferroptosis suppression in neuronal development, and environmental stress memory mechanisms. Collaborative lab members include doctoral researchers and postdocs working on various aspects of chromatin biology and C. elegans genetics. Lab Members Iratxe Estivariz (Postdoc) Fernanda Pabst (Doctoral Researcher) Carole Zaratiegui (Doctoral Researcher) Yuri D'Alessio (Doctoral Researcher) Lorenz Pudelko (Doctoral Researcher)

• RNA Modifications
• Noncoding RNA Biology
• Cancer Epigenetics
• +4 more

Sarah Rennie serves as Assistant Professor in the Department of Biology within the Faculty of Science at the University of Copenhagen, specializing in Computational and RNA Biology. Her research focuses on RNA modifications and their implications in cancer biology, particularly gastrointestinal and pancreatic cancers. Her primary research interests span RNA modifications, noncoding RNA biology, cancer epigenetics, and bioinformatics. Current work investigates N6-methyladenosine (m6A) modifications in pancreatic cancer progression, tumor microenvironment adaptations, and computational approaches for RNA analysis. Her lab develops and benchmarks bioinformatic tools for lncRNA research and RNA editing detection, bridging wet-lab experiments with computational modeling. Recent publications demonstrate significant contributions to understanding RNA modification roles in cancer, with 2024-2025 work appearing in high-impact journals including Cancer Science , Cell Reports , and EMBO Journal . Her research shows strong emphasis on translational applications, particularly in developing RNA-based cancer biomarkers and therapeutic targets. Rennie serves as Editor for the journal Non-coding RNA (2023), demonstrating leadership in the field. Her work receives consistent attention across academic platforms with multiple mentions on X (formerly Twitter), Reddit, Bluesky, and Mendeley. Her laboratory operates within the Computational and RNA Biology section at Ole Maaløes Vej 5 in Copenhagen, utilizing both experimental and computational approaches to study RNA modifications in disease contexts. Current projects focus on acid microenvironment adaptations in pancreatic cancer and deep learning applications for RNA modification analysis.

Paschalis KratsiosView profile

Associate Professor

• Motor Neuron Development
• Gene Regulation
• Neurodegenerative Diseases
• +7 more

Paschalis Kratsios is an Associate Professor in the Department of Neurobiology at the University of Chicago's Biological Sciences Division. His research program investigates gene regulatory mechanisms underlying motor neuron development and dysfunction, with implications for neurodegenerative diseases like ALS. Dr. Kratsios employs C. elegans and mouse models alongside cutting-edge genomic techniques including CRISPR editing and ATAC-seq. His academic training includes a Ph.D. in Developmental Biology from the European Molecular Biology Laboratory (EMBL, 2009) and postdoctoral training in Developmental Neurobiology at Columbia University (completed 2016). Research interests center on: Motor neuron specification via transcription factor networks Chromatin dynamics in neuronal identity maintenance Evolutionarily conserved mechanisms from C. elegans to mammals Neurodegenerative pathogenesis in ALS and spinal muscular atrophy Recent publications (2021-2025) demonstrate a strong focus on Hox gene functions, neuronal identity maintenance, and CRISPR-based methodologies, with work published in Nature Communications , Cell Reports , and eLife . Awards and honors: NIH K99/R00 Pathway to Independence Award (2013-2018) Whitehall Foundation Award for Neurobiology (2017-2019) Dr. Kratsios leads multiple NIH-funded projects as Principal Investigator, including R01 grants focused on motor neuron terminal identity mechanisms. His lab emphasizes cross-species validation and genomic approaches to decode cis-regulatory elements governing neural development. The Kratsios Lab (http://kratsioslab.uchicago.edu) integrates genetics, genomics, and behavioral assays to study neurodevelopmental and neurodegenerative disorders, with active collaborations across neurobiology and genomics fields.