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Juliano Sarmento CabralView profile

Associate Professor

• Biodiversity Modeling
• Ecological Dynamics
• Biogeography
• +7 more

Juliano Sarmento Cabral is an Associate Professor of Biodiversity Modeling and Environmental Change at the University of Birmingham’s School of Biosciences (College of Life and Environmental Sciences). He holds an affiliated guest position as PD Dr. (group leader) in Ecosystem Modeling at the Center for Computational and Theoretical Biology (CCTB), University of Würzburg. His research focuses on biodiversity dynamics across scales, integrating ecological, evolutionary, and environmental processes. Cabral’s work bridges theoretical and applied ecology, emphasizing climate change impacts, species distribution modeling, and conservation strategies. Education: PhD in Ecology (2010), University of Potsdam, Germany Bachelor in Biological Sciences (2005), Federal Rural University of Pernambuco, Brazil Research Interests: Cabral’s research spans niche ecology, metabolic theory, and macroecological patterns. He investigates how biodiversity responds to environmental changes, particularly through mechanistic models linking demographic processes to landscape dynamics. His work includes studies on tropical forests, sky island systems, and Mediterranean vegetation. Key themes include species range dynamics, invasion biology, and the interplay between ecological and evolutionary processes in shaping biodiversity. Grants & Awards: Winner of the E4 Award 2019b for Excellence in Ecology and Evolution Recipient of DAAD and DFG grants for research on vascular epiphytes and biodiversity tipping points Editorial role at Diversity and Distributions (since 2019) Advising & Teams: Cabral supervises students across PhD and postdoctoral levels, focusing on computational ecology and biodiversity modeling. He collaborates with interdisciplinary teams on projects like the BLIZ consortium, exploring biodiversity tipping points under climate change. Labs & Collaborations: His research group develops frameworks like MetaRange.jl for species range modeling and contributes to tools like gen3sis for eco-evolutionary simulations. Collaborations span institutions globally, including the Smithsonian Tropical Research Institute and the German Centre for Integrative Biodiversity Research (iDiv).

Ashlee N. Ford VersyptView profile

Associate Professor

• Computational Science and Engineering
• Applied Mathematics
• Mathematical Biology
• +17 more

Dr. Ashlee N. Ford Versypt is an Associate Professor in the Department of Chemical and Biological Engineering at the University at Buffalo (UB), State University of New York. Affiliated with the School of Engineering and Applied Sciences, she also serves as faculty member in the Department of Biomedical Engineering, Department of Engineering Education, and Institute for Artificial Intelligence and Data Science at UB. PhD in Chemical Engineering (2012, University of Illinois at Urbana-Champaign) MS in Chemical Engineering (2009, UIUC) BS in Chemical Engineering (2005, University of Oklahoma) Her research focuses on multiscale mathematical modeling of biological systems, particularly examining tissue remodeling and damage mechanisms in conditions like diabetic kidney disease, cancer metastasis, and lung fibrosis. She develops computational models to simulate drug delivery systems, pharmacokinetics, and cellular interactions in physiological microenvironments. Recent publications demonstrate expertise in pharmacokinetic modeling, extracellular matrix dynamics, and computational education tools. Key themes include diabetic kidney disease mechanisms , drug delivery optimization , agent-based tumor modeling , and computational pedagogy for STEM education. 2023 - William H. Corcoran Award (ASEE ChE Division) 2022 - David Himmelblau Award (AIChE CAST Division) 2021 - NSF CAREER Award 2020 - ASEE Chemical Engineering Division Chair 2019 - AIChE 35 Under 35 2013 - Frederick A. Howes Scholar (DOE CSGF) As director of UB's Systems Biomedicine and Pharmaceutics Laboratory, she receives funding from the National Science Foundation and National Institutes of Health to develop virtual organ models. Her educational initiatives include creating interactive coding templates for MATLAB/Python integration in engineering curricula and leading outreach programs for K-12 students and senior adults.

Joan MecsasView profile

Professor

• Microbiology
• Immunology
• Host-Pathogen Interactions
• +3 more

Joan Mecsas is a Professor of Molecular Biology & Microbiology at Tufts University School of Medicine in Boston. During her six-month sabbatical at the Max Planck Institute for Infection Biology (MPIIB) in 2019, she collaborated with Arturo Zychlinsky’s Cellular Microbiology Group to advance her research on bacterial pathogens and host immune responses. Her research focuses on understanding how gram-negative pathogens like Yersinia and Klebsiella manipulate host defenses, particularly neutrophils and inflammatory monocytes, to establish infections. She aims to dissect the mechanisms by which these pathogens inactivate neutrophils and modulate neutrophil extracellular traps (NETs) at mucosal surfaces and other tissues. Despite the challenges of managing her lab remotely during her sabbatical, she maintained regular group meetings via Skype and utilized electronic notebooks for remote data access. Mecsas emphasized the intellectual rejuvenation gained from stepping away from administrative duties, allowing her to focus on scientific goals and long-term research planning.

• Mathematics Education
• Computational Pedagogy
• STEM Equity
• +3 more

Sarah Castle is an Assistant Professor in the Mathematical and Statistical Sciences Department at the University of Idaho , with an affiliation in the Curriculum and Instruction Department within the College of Education, Health and Human Sciences . She earned a Ph.D. in Mathematics Education (2023) and an M.S. in Mathematics (2022) from Michigan State University . Her research focuses on two core areas: (1) using computational tools to reveal and address systemic inequities in undergraduate STEM , and (2) fostering mathematical creativity through coding and computational thinking for marginalized students. She investigates how computing environments enhance student exploration , resilience , and ownership of mathematical concepts , contrasting traditional formulaic views of mathematics. Her publications highlight the pedagogical power of Jupyter Notebooks in linear algebra education , groupwork dynamics in linguistically diverse classrooms , and multi-institutional equity frameworks for STEM courses. She has presented at conferences like the ACM Technical Symposium on Computer Science Education and the Research in Undergraduate Mathematics Education Conference . She contributes to teams such as the SEISMIC Project , Transition to Proof Project , and Computational Education Research Lab , advancing data-driven equity initiatives and proof-based pedagogy. Her teaching experience spans instructor roles , TA positions , and curriculum development for K-12 through university levels.

Yiheng LiangView profile

Lecturer

• Data Science
• Computer Security
• Computational Epidemiology
• +1 more

Yiheng Liang is a Lecturer at the School of Computing, University of Georgia, affiliated with the Franklin College of Arts & Sciences. His research focuses on data science, computer security, computational epidemiology, and health informatics. He holds a PhD and MS in Computer Science from the University of North Texas. His work bridges technical computing with real-world applications, particularly in educational tools and healthcare systems. Contact: yiheng@uga.edu, Boyd Graduate Research Center, Athens, GA.

Stuart HigginsView profile

Lecturer

• Bioelectronics
• Biomaterials
• Biomedical Engineering
• +3 more

Dr Stuart Higgins is a UKRI Future Leaders Fellow and Lecturer in Biomedical Engineering at the University of York's School of Physics, Engineering and Technology. His research focuses on bioelectronics and biomaterials for biological system interfacing, alongside exploring research culture in academia. He leads the Complex Interface Team, investigating advanced biomaterials, nanotechnology applications in medicine, and lab practices. Stuart actively publishes on topics ranging from nanoneedle-based gene delivery to membrane curvature dynamics, with a focus on translational biomedical engineering. His work bridges fundamental science and clinical applications, emphasizing interdisciplinary collaboration. Research interests include: bioelectronic devices, biomaterials for regenerative medicine, nanoscale biomaterial interactions, and optimizing academic research environments. Notable contributions include developing endosomolytic compounds for gene delivery and analyzing silicon nanowire effects on bacterial cells. Scientific achievements include the UKRI Future Leaders Fellowship. His research trends show a strong focus on nanotechnology-driven biomedical solutions, with recent work exploring electronic lab notebooks to improve reproducibility in academia. Stuart's team also investigates stem cell behavior influenced by nanostructured surfaces and membrane curvature mechanisms in cellular processes. Advising and grants: While no specific students are listed, his fellowship likely supports collaborative projects. Grants may include funding from UKRI for his Future Leaders Fellowship. His lab (Complex Interface Team) focuses on bioelectronics and biomaterial innovations.

Grace StokesView profile

Associate Professor

• Biophysical Chemistry
• Membrane Biology
• Drug Delivery Mechanisms
• +3 more

Grace Stokes is an Associate Professor of Chemistry and Biochemistry at Santa Clara University, affiliated with the Department of Chemistry and Biochemistry within the College of Arts and Sciences. She holds the Clare Boothe Luce Professorship and has received prestigious awards including the Henry Dreyfus Teacher-Scholar Award (2021), NSF CAREER Award (2019), and Cottrell Scholar Award (2018). Her research focuses on biophysical chemistry, particularly the interactions between peptoids, drugs, and cell membranes, using advanced laser-based spectroscopy techniques. She is committed to undergraduate research mentorship, with students actively contributing to peer-reviewed publications and national conferences. Her work bridges fundamental science with educational innovation, including developing computational tools for chemistry education. Educational Background : B.S. in Chemistry, Stanford University Ph.D. in Physical Chemistry, Northwestern University Research Interests : Dr. Stokes investigates how pharmaceuticals and peptoids interact with lipid membranes to inform drug design and membrane transport mechanisms. Her lab uses cutting-edge laser spectroscopy to study ABC transporter proteins and membrane dynamics. Recent projects include quantifying heavy metal ion transport across bacterial membranes in collaboration with Dr. Janet Yang (University of San Francisco). Awards & Grants : $75,000 Henry Dreyfus Award (2021) $475,000 NSF CAREER Grant (2019–2024) $100,000 Cottrell Scholar Award (2018–2021) Teaching & Mentorship : She teaches courses in General Chemistry, Quantum Chemistry, and Thermodynamics at both undergraduate and graduate levels. Her lab emphasizes inclusive education, with initiatives like Jupyter Notebook integration in chemistry curricula. Over 20 undergraduate researchers have co-authored her publications since 2014. Labs & Collaborations : Based in Daly Science Room 122, the Stokes Lab collaborates with institutions like University of San Francisco and engages in national networks through Cottrell Scholar and NSF programs. Current projects include clozapine drug studies and peptoid-lipid interaction analysis.

April Yi WangView profile

Assistant Professor

• Human-Computer Interaction
• Educational Technology
• Programming Support Systems
• +4 more

April Yi Wang is a tenure-track Assistant Professor at the Department of Computer Science, ETH Zürich, leading the PEACH Lab. She holds core faculty roles at the Institute for Intelligent Interactive Systems and the ETH AI Center. Her research focuses on human-centered approaches in programming, education technology, and data science collaboration. She earned her PhD from the University of Michigan (2023) and MSc from Simon Fraser University (2018), advised by Steve Oney and Christopher Brooks. Education: PhD in Information Science, University of Michigan (2018–2023) MSc in Computer Science, Simon Fraser University (2016–2018) B.Eng in Computer Science, Zhejiang University (2013–2016) Research Interests: Human-Computer Interaction (HCI) Programming Support Systems Collaborative Data Science AI-Enhanced Education Literate Programming Accessibility in Technology Recent Work Trends: Her 2025 publications emphasize AI-driven educational tools (e.g., Math2Visual for math pedagogy, datAR for data literacy), emotion-aware moderation systems, and studies on workplace multitasking. Her work bridges HCI with computational education, focusing on intuitive programming interfaces and inclusive design. Awards: Gary M. Olson Award (2023), ACM CHI Honorable Mentions (2023/2020/2018), Rising Stars in EECS (2022). Grants: Innovedum funding for Coducate project (2025). Lab Focus: Designing expressive systems for programming and data literacy through visual/tangible interfaces, AI co-decomposition tools, and interdisciplinary metaphors. Teaching: Courses on Human-Computer Interaction, Educational Technology, and Mixed Reality at ETH Zürich.

Jesús Requena CarriónView profile

Professor

• Data Science
• Machine Learning
• Computer Modelling
• +6 more

Jesús Requena Carrión is the Executive Vice Dean and Director of Queen Mary School Hainan (QMSH), and a Professor of Data Science and Engineering at Queen Mary University of London's School of Physical and Chemical Sciences. His research focuses on statistical data analysis, machine learning applications in healthcare and robotics, computer modeling of complex systems, and ethical approaches to data science. He advocates for rigorous and ethical use of digital technology and authored the open-access book Principles of Machine Learning: A Deployment-First Perspective . His work spans interdisciplinary areas, including healthcare technology, serious games for emotion and decision-making studies, and sensor systems for infrastructure maintenance. He leads the Data Science and Engineering Research Group, emphasizing practical deployment and societal impact. Recent research trends include machine learning-driven solutions for medical diagnostics, autonomous systems, and educational tools. Publications reflect innovation in robotics trajectory planning, neurophysiological risk assessment, and stress recognition via wearable sensors. He emphasizes collaboration in global education through QMSH and contributes to neuromorphic sensor networks and bio-inspired engineering applications. No scientific awards are explicitly listed, but his work impacts diverse fields from biomedical engineering to urban planning.

Nikesh BajajView profile

Lecturer

• Signal Processing
• Machine Learning
• Biomedical Engineering
• +5 more

Nikesh Bajaj is a Lecturer in Data Science and Director of Education at Queen Mary University of London (QMUL), affiliated with the School of Physical and Chemical Sciences. He holds a PhD from QMUL and the University of Genova, focusing on auditory attention prediction from physiological signals. Previously, he worked as a Research Associate at Imperial College London, exploring cardiac electrophysiology via ECG imaging, and as a Research Fellow at the University of East London on deception detection in financial conversations (resulting in a U.S. patent). His research spans signal processing, machine learning, and biomedical applications, including projects like PhyAAt (auditory attention modeling), ATAR (EEG artifact removal), and computational models for cardiac arrhythmia. He also collaborates with industry on gamification, VR/AR, and forensic interaction analysis. Key Research Areas: ECGI inverse problems, EEG artifact correction, deception detection, and data-driven healthcare. Teaching: Leads courses on data science programming, exploratory data analysis, and machine learning principles at QMUL. Software: Developed Python libraries spkit , phyaat , and pylfsr for signal processing and ML. Publications: Over 20 peer-reviewed papers across biomedical signal processing, machine learning applications, and game design. Recent work emphasizes AI-driven cardiac diagnostics and mixed-reality user experience metrics.

Alexander BlumView profile

Research Fellow

• History of Modern Physics
• Philosophy of Physics
• Quantum Field Theory
• +4 more

Alexander Blum is a Research Fellow at the Max Planck Institute for the History of Science (MPIWG) in Berlin, where he leads an independent Max Planck Research Group since 2017. He holds a PhD in theoretical particle physics from the University of Heidelberg (2009) and has been affiliated with the MPIWG since 2010. He teaches at the physics department of Freie Universität Berlin and the history of science department of Technische Universität Berlin. His research focuses on the history and philosophy of modern physics, particularly postwar developments in quantum theory, general relativity, and quantum field theory. He has organized transdisciplinary workshops and large conferences, including the centenary of general relativity (2015) and the upcoming quantum mechanics centenary (2025). 2025 Publications : Books and articles on quantum mechanics' origins, perturbative causality, and Heisenberg's work. 2024 Publications : Historical analysis of virtual entities in pre-QFT physics and journal integration in scientific historiography. 2022 Contributions : Work on CPT theorem genesis, Einstein-Rosen gravitational wave errors, Wheeler's notebooks, and approximation methods in 20th-century physics. Awarded leadership of a Max Planck Research Group in 2017, Blum bridges physics, history, and philosophy through collaborative projects and public science communication.

• Cloud Physics
• Atmospheric Science
• Climate Science
• +3 more

Dr. Philip Austin is an Associate Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), within the Faculty of Science. He leads research in cloud physics, focusing on cloud dynamics, radiative properties, and climate feedback mechanisms. His work emphasizes stratus and cirrus clouds' formation, persistence, and dissipation, with applications to global climate modeling. He holds a B.A. in Physics from Whitman College (1979) and a Ph.D. from the University of Washington (1987), followed by a postdoctoral fellowship at NASA Goddard Space Flight Center (1987–1988). He has supervised graduate students in atmospheric science, including studies on convective boundary layer entrainment and cloud-regime dynamics. Austin is Principal Investigator for an NSERC strategic project on cloud-aerosol feedbacks and has contributed to international collaborations like CGILS. His educational efforts include revitalizing computational curricula in geosciences and promoting open-source educational tools. Education: B.A. in Physics, Whitman College (Honours, 1979) Ph.D. in Atmospheric Sciences, University of Washington (1987) National Research Council Post-Doctoral Fellow, NASA Goddard Space Flight Center (1987–1988) Research Interests: Cloud entrainment dynamics and radiative properties Boundary layer cloud processes and climate feedbacks Climate model parameterization of cloud dynamics Impact of cloud microphysics on climate Computational methods in atmospheric science education Advising & Grants: Supervised 2 Master's theses (2012, 2015) NSERC Strategic Project: Cloud Aerosol Feedbacks and Climate Labs/Teams: Involved with UBC's Institute of Applied Mathematics and Departmental research groups focusing on climate and atmospheric dynamics.

David ProberView profile

Professor

• Sleep Research
• Neuroscience
• Zebrafish Genetics
• +3 more

David Prober is a Professor of Biology at the California Institute of Technology (Caltech). He holds a B.Sc. from the University of Manitoba (1995) and a Ph.D. from the University of Washington (2002). His research focuses on understanding the genetic and neuronal mechanisms regulating sleep and wakefulness using zebrafish as a model organism. The Prober Lab employs advanced techniques including genetics, optogenetics, chemogenetics, whole-brain imaging, and electrophysiology to explore sleep's evolutionary conservation and molecular underpinnings. Key research areas include sleep-epilepsy interactions, norepinephrine-glial signaling, and sodium homeostasis's role in sleep regulation. His work bridges basic neuroscience with translational applications, addressing sleep disorders and neurobehavioral mechanisms. Recent studies investigate ketamine's effects on neural circuits and cloud computing infrastructure for large-scale data analysis in biological research. Prober's lab has developed open-source tools for animal facility monitoring and pioneered methods to study sleep in zebrafish. His contributions span sleep genetics, neuroendocrinology, and developmental biology, with over 150 publications since 2000. He has no listed awards or grants in the provided texts.

• Research Integrity
• Cancer Research
• Cell Biology
• +5 more

Dr. Andrew Porter serves as Research Integrity and Training Adviser at Cancer Research UK Manchester Institute, part of the University of Manchester's medical research ecosystem. He is affiliated with both the Christabel Pankhurst Institute and Manchester Cancer Research Centre, focusing on cell biological mechanisms in cancer development. His research spans RAC1 signaling pathways , centriole duplication mechanisms , and melanoma invasion processes , with particular expertise in cytoskeletal regulators like Tiam1 and CASK. Recent work examines how ultraviolet light-induced collagen degradation affects tumor microenvironments and how mitotic spindle orientation influences epithelial cancer progression. Dr. Porter's publication trends show consistent high-impact output in cell biology journals, with his 2021 Nature Communications paper on melanoma accumulating 67 citations. His research integrates molecular pathway analysis with translational cancer models, maintaining strong collaboration with Professor Malliri's research group. Research Integrity and Training Adviser role Digital research infrastructure development Open science advocacy through dataset creation As Training Adviser, Dr. Porter oversees researcher development programs and ethical compliance frameworks. His 2025 dataset on Digital Notebooks demonstrates commitment to modernizing research practices, while his laboratory work continues to elucidate fundamental mechanisms in cancer cell biology through rigorous experimental design and collaborative science.

• Cognitive Science
• Data Visualisation
• Language Processing
• +7 more

Andrew Stewart is a Professor of Cognitive Science in the Department of Computer Science at the University of Manchester, where he also serves as Head of Department for Computer Science. His academic profile shows substantial research output with 68 publications, 2 projects, and 1 dataset. He has supervised 9 students through their academic work. Department: Department of Computer Science Position: Professor of Cognitive Science Administrative Role: Head of Department (Computer Science) Professor Stewart's research interests focus on the intersection of cognitive science and data visualization. His work explores how humans process visual information, particularly in data representation contexts. He has significant expertise in eye movement studies, syntactic priming, and reproducibility in research methods. His recent work demonstrates a strong commitment to open science practices and improving research transparency. His publication trends show a consistent focus on data visualization techniques, particularly scatterplots, and their cognitive impacts. Recent articles examine how visual design elements like point size, opacity, and axis limits affect data interpretation and belief formation. He's also actively involved in developing standards for research data management in health and social care contexts. Professor Stewart contributes to the UN Sustainable Development Goals through his work in open science and reproducible research practices. His research aligns with goals related to quality education and industry innovation. Digital Futures Research Beacon Manchester Institute for Collaborative Research on Ageing As Head of Department, he oversees administration for the Computer Science department while maintaining an active research program. His recent projects include work with the UK Reproducibility Network and developing frameworks for digital notebook implementation in research settings. His supervision record includes 9 students across various research topics related to cognitive science and data visualization. Professor Stewart maintains active collaborations across multiple disciplines, with research connections spanning psychology, computer science, healthcare, and social sciences. His work on the DeNOTE study demonstrates practical applications of his research in health and social care contexts.