Kenny Malpartida Cardenas is an Imperial College Research Fellow in the Department of Infectious Disease at Imperial College London's Faculty of Medicine. His affiliations include the Centre for Antimicrobial Optimisation, reflecting his focus on advanced diagnostics and infectious disease research. Dr. Cardenas' work bridges analytical chemistry, biomedical engineering, and nanotechnology to develop innovative diagnostic tools. His research interests center on portable molecular diagnostic platforms, rapid point-of-care testing, and antimicrobial resistance analysis. Key projects include electricity-free nucleic acid extraction methods, smartphone-connected lab-on-chip systems, and LAMP-based assays for malaria and dengue detection. These technologies aim to enhance diagnostics in resource-limited settings. Dr. Cardenas has contributed to over 20 peer-reviewed articles since 2018, focusing on multiplex PCR innovations, isothermal amplification techniques, and integration of digital technologies in diagnostics. His work emphasizes practical solutions for global health challenges through engineering and materials science advancements.
Professor Keith Willison is a Professor of Chemical Biology at the Department of Chemistry, Imperial College London, part of the Faculty of Natural Sciences. He has held academic positions including Weston Visiting Professor at the Weizmann Institute of Science and Scientist/Team Leader at the Institute of Cancer Research. His research focuses on eukaryotic protein folding, single molecule approaches to protein dynamics, and interdisciplinary chemical biology. He co-founded the Centre for Doctoral Training in Chemical Biology and the Institute of Chemical Biology, training over 250 PhD students in Chemical Biology. His work integrates physics, mathematics, and engineering to address biological problems such as cancer drug discovery and artificial cell design. Education: PhD in Biochemistry, University of Cambridge (1975–1978) BSc (Hons) in Biochemistry, University of Sussex (1972–1975) Research Interests: His lab explores protein dynamics, single molecule proteomics, and clinical applications of microfluidic technologies like the MAC chip. Key areas include quantifying protein copy numbers in single cells, studying molecular noise in signaling networks, and developing label-free detection methods for clinical diagnostics. Articles Overview: Recent work spans copper homeostasis in neurodegeneration, COPD biomarker detection via microfluidics, and malaria parasite proteome analysis. His contributions highlight advancements in single-cell and single-molecule methodologies. Awards & Grants: Funding from EPSRC, Cancer Research UK, and the British Heart Foundation supports his research. He leads interdisciplinary teams and oversees training programs in Chemical Biology. Labs & Teams: Active in the Institute of Chemical Biology and Molecular Sciences Research Hub, focusing on translational research and technology development for clinical applications.
Professor Debopam Bhattacharya is a Professor of Econometrics at the University of Cambridge's Faculty of Economics. His research focuses on empirical microeconomics, micro-econometrics, and welfare analysis, with particular attention to discrete choice models and institutional analyses such as university admissions. He has held significant grants, including the European Research Council (ERC) Grant (2016-2021) and an Economic and Social Research Council (ESRC) Grant (2022-2026). Education: Background in economics and econometrics (details not explicitly provided). His research interests span welfare economics, program evaluation, and academic fairness in university admissions. He has supervised PhD student Shu Feng Wei and contributes to the development of empirical methodologies in econometrics. His work frequently intersects with policy analysis, particularly in education and social welfare. Key research themes include the empirical content of binary choice models, demand analysis under social interactions, and nonparametric welfare analysis. Notable contributions include studies on Cambridge University admissions and the academic fairness of elite institutions. Awards/Grants: ERC Grant (2016-2021), ESRC Grant (2022-2026).
Michael Lounsbury is a Professor of Business Strategy & Entrepreneurship (part-time) at the Australian National University (ANU) and holds a primary appointment as a Professor at the University of Alberta School of Business . He also serves as the A.F (Chip) Collins Chair , Chair of the Strategy, Entrepreneurship and Management Department , and Academic Director of the eHUB entrepreneurship centre . His research focuses on institutional change, entrepreneurial dynamics, and the emergence of new industries. Lounsbury obtained his Ph.D. in Sociology and Organization Behavior from Northwestern University in 1999. Research Interests: Lounsbury’s work explores the interplay between organizational and institutional change, the role of culture in entrepreneurship, and the impact of social movements on market structures. He has pioneered the concept of cultural entrepreneurship , examining how ventures navigate conflicting institutional logics to achieve legitimacy. His recent studies emphasize institutional trust, governance challenges in academia, and the societal effects of entrepreneurship. Publications & Awards: Over 15+ recent articles highlight themes like symbolic differentiation in ventures, downstream effects of social movements, and institutional bricolage. His work appears in top journals such as Research in the Sociology of Organizations , where he serves as series editor. Awards include the endowed A.F (Chip) Collins Chair, recognizing his scholarly contributions. Advising & Grants: While no specific student advisees or grant details are listed, his academic leadership roles (e.g., eHUB directorship) suggest extensive mentorship in entrepreneurship and strategy. Labs/Teams: Leads the eHUB entrepreneurship centre at Alberta, fostering innovation ecosystems and venture development.
Professor Jethro Herberg is a Clinical Professor in Paediatric Infectious Diseases at Imperial College London, affiliated with the Faculty of Medicine. He holds honorary consultant positions at St Mary’s Hospital and Royal Brompton Hospital within the Imperial College Healthcare NHS Trust. His research focuses on biomarkers for febrile illnesses, including genetic predisposition and diagnostic transcriptomics. Key affiliations include the Centre for Paediatrics and Child Health, Immuno-Pathology Network, and the Section of Paediatric Infectious Disease. Education: BA Biochemistry (Oxford University), PhD in Human Immunogenetics (Imperial Cancer Research Fund), and medical training at UCL. He joined Imperial College in 2008 as a clinician-scientist. Research interests include host transcriptome responses to infections, Kawasaki disease mechanisms, and rapid diagnostic technologies. He leads the DIAMONDS EU Horizon project, developing a 40-host transcript diagnostic test for febrile illnesses, and collaborates on lab-on-chip and lateral flow technologies for biomarker detection. His team received the 2019 Imperial College President’s Award for Outstanding Research Team. Key awards include the President’s Medal (2019) and leadership roles in initiatives like the KD-CAAP study on Kawasaki disease treatment efficacy and the INGENIOS project on genetic predisposition to severe infections. Professional activities include roles on the RCPCH Genomics Working Group, ESPID Research Committee, and grant panels for the Rosetrees Trust. He co-leads the paediatric infectious disease module in Imperial’s Applied Paediatrics MSc program.
Tianyin Xu is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), with a courtesy appointment in the Department of Electrical and Computer Engineering (ECE). His research focuses on ensuring reliability and security in large-scale cloud and datacenter systems, with particular emphasis on configuration management, system verification, and distributed system resilience. He has held positions including a year at Facebook's Core Systems and completed his PhD at the University of California San Diego. Dr. Xu teaches courses such as CS 598(XU) on Cloud-Scale System Reliability, CS 523 (Advanced Operating Systems), and CS 423 (Operating Systems Design). He actively contributes to academic communities through roles like co-editing the SIGOPS Blog, serving on program committees for conferences like NSDI, OSDI, and EuroSys, and organizing the UIUC Systems Research Seminar. His research has been recognized with awards including the 2025 Best Paper Award at ASPLOS, 2024 Jay Lepreau Best Paper Award, and NSF CAREER Award. His work has led to impactful contributions like the Sieve framework for testing configuration changes and the Rex tool for kernel extension safety. Dr. Xu advises a vibrant group of students and collaborates with industry partners including VMware, IBM, and Intel. His lab focuses on advancing system reliability through innovative tools and methodologies.
Bram Verstockt is an Assistant Professor at KU Leuven and a staff member in the Department of Gastroenterology and Hepatology at University Hospitals Leuven since 2021. He serves as a member of the LISCO - KU Leuven Institute for Single Cell Omics and holds multiple leadership roles, including Chair of the Young European Crohn's and Colitis Organization (Y-ECCO) (2024-25) and Vice-President of the European Microscopic Colitis Group (EMCG) (2024-present). His research focuses on non-invasive IBD monitoring through intestinal ultrasound and radiomics, alongside translational studies in predictive/prognostic markers for personalized medicine. He investigates IBD heterogeneity (perianal disease, fibrostenotic disease, fatigue) using multi-omic and organoid models and co-founded the international proteomics consortium COLLIBRI in IBD . Prof. Dr. Jan De Grootte Prize (2013) Horlait-Dapsens Prize (2020) KU Leuven Research Council Award (2022) Recent publications highlight his work on IBD comorbidities , predictive biomarker assays , and international guideline development with organizations like ECCO-ESGAR . His clinical and research contributions bridge gastroenterology with advanced imaging technologies .
Jun-Chau Chien is an Assistant Professor of Electrical Engineering and Computer Science at the University of California, Berkeley, and holds the Weber Family Engineering Faculty Fellowship. He is affiliated with the Berkeley Sensor & Actuator Center (BSAC) and the Berkeley Wireless Research Center (BWRC). His research bridges integrated circuits with bio- and quantum technologies, focusing on biosensors, molecular engineering, and mm-wave ICs for biomedical and quantum applications. Education: B.S. and M.S., National Taiwan University Ph.D. in Electrical Engineering, UC Berkeley (2015) Postdoctoral Training, Stanford University (2016–2017) Prior Experience: Research Engineer, Stanford EE (2017–2021) Assistant Professor, National Taiwan University Industrial roles at Xilinx, InvenSense, LifeSignals, and INanobio Research Interests: Analog/mixed-signal IC design for biomedical applications Bioelectronics and implantable/ wearable sensors RF/mm-wave circuits for quantum interfaces and medical imaging CMOS-microfluidics integration for point-of-care diagnostics Advanced calibration techniques for high-frequency devices Awards: 2022 IEEE BioCAS Best Paper Award 2019 IEEE CICC Outstanding Paper Award NSF CAREER Award (2025) MTT-S Graduate Fellowship (2014) Lab & Outreach: Chien Lab focuses on bio-IC convergence and quantum interfaces Develops wearable/implantable biosensors and mm-wave imagers Hosts community outreach programs for junior high/high school students He teaches EE 194 and EE 290 on integrated circuit testing and is actively involved in ISSCC technical committees.
Jennifer Listgarten is a Professor in the Electrical Engineering and Computer Science (EECS) Department, the Center for Computational Biology, and the Bioengineering program at the University of California, Berkeley. She serves as a member of the steering committee for the Berkeley AI Research (BAIR) Lab and holds the Jeffrey Huber and Angel Vossough Chancellor's Chair in Computational Biomedicine. Her multidisciplinary appointments reflect her work at the intersection of computer science, statistics, and biological sciences. Professor Listgarten completed her Ph.D. in Computer Science from the University of Toronto in 2007, following undergraduate degrees in Physics and Computer Science from Queen's University in Canada. Prior to joining UC Berkeley, she spent a decade (2007-2017) at Microsoft Research with positions in Cambridge, MA, Los Angeles, and Redmond, WA. Her research focuses on developing and applying machine learning methods to solve problems in biology and medicine, with current emphasis on protein design, optimization, and engineering for properties such as expression, fluorescence, binding, and stability. She also works on computational chemistry methods, drug repositioning, and machine learning methodology at the intersection of graphical models, neural networks, and variational inference. Her earlier work addressed statistical genetics methods for correcting confounding factors in GWAS, epigenome-WAS, and eQTL studies, as well as immunoinformatics problems including HLA class I epitope prediction. Her recent publications demonstrate a strong trajectory in applying machine learning to protein engineering, with numerous high-impact papers in Nature Biotechnology, Science Advances, and top machine learning conferences. Her work shows increasing integration of computational methods with experimental validation, particularly in CRISPR technology and protein design applications. Bakar Fellows Spark Award (2024) Professor Listgarten actively mentors PhD students through EECS, the Center for Computational Biology, and Bioengineering programs. She maintains scientific advisory roles with several biotechnology companies including Dayzero Diagnostics, Deep Apple Therapeutics, Inscripta, and Fable Therapeutics (where she serves as Academic co-founder). Her research group collaborates with prominent scientists including Chris Garcia (Stanford), Phil Romero (U Wisconsin), David Savage (UC Berkeley), and David Schaffer (UC Berkeley). The Listgarten lab operates within the Berkeley Artificial Intelligence Research Lab (BAIR) and the Center for Computational Biology (CCB), focusing on developing computational methods that enable new biological insights and therapeutic applications, particularly in the areas of protein engineering and CRISPR technology.
Brice Lapin is a Post-Doctoral Researcher at the Institut Curie in Paris, affiliated with the MMBM team (Macromolecules and Microsystems in Biology and Medicine) within the UMR168 unit (Physics of Cells and Cancer). His work bridges biophysics, microsystem design, and cancer cell behavior analysis. Research Focus: Development of multitubular kidney-on-chip models Methodologies: Microfabrication, tissue engineering, biofluidics Applications: Studying renal diseases and cystic pathophysiology
Adrijan Barić is a Researcher at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing (University of Zagreb). His work focuses on integrated circuit design, electromagnetic compatibility (EMC), and sensor systems. Expertise in CMOS technology and FPGA-based systems Developed on-chip sensors for stress effects and electromagnetic emissions Contributed to wireless sensor nodes and power converter design His research involves behavioral modeling of integrated circuits, time-domain simulations, and EMC-aware design methodologies. Key projects include: Smart temperature sensors using ring oscillators Conducted emissions analysis in DC-DC converters High-frequency modeling of surface-mount components Contact: adrijan.baric@fer.unizg.hr
Cristina Ionica Øie is a Senior Researcher at the Department of Medical Biology, UiT The Arctic University of Norway, specializing in liver biology and advanced microscopy. She leads the Sugar Crush project (2018-2024), investigating metabolic mechanisms in non-alcoholic fatty liver disease (NAFLD) progression, funded by RCN FRIPRO. As Co-PI of InterNASH , she explores intercellular pathways for NASH treatment, supported by RCN FORNI, Novo Nordisk, and UiT Innovation. Her work bridges cell biology and engineering, using optical nanoscopy to study liver sinusoidal endothelial cell (LSEC) dysfunction. Research focuses: LSEC metabolism, NASH pathogenesis, and super-resolution microscopy. Key techniques: Structured illumination microscopy, photonic chip-based nanoscopy, and transcriptomics. She holds the 2018 Young Researcher Prize from UiT’s Faculty of Health Sciences. Her labs collaborate across disciplines, integrating nanoscopy with functional assays to dissect liver disease mechanisms. Current grants total ~9.6 MNOK, supporting projects like GenSEC (CRISPR screening in LSECs) and equipment acquisition (e.g., Seahorse metabolic analyzer). Publications emphasize LSEC morphology, bacterial phage interactions, and fenestration dynamics, with contributions to journals like npj Gut and Liver and Nature Photonics . Her work advances understanding of liver endothelial biology and therapeutic targets for metabolic liver diseases.
Professor Antoniadis Aristomenis is a faculty member at the Technical University of Crete, affiliated with the School of Production Engineering and Management. His work focuses on advanced manufacturing processes, CAD/CAM simulation, laser engraving, and emerging technologies in materials science and augmented reality applications. He holds a prominent role in the Vice-Chancellor Office, indicating leadership responsibilities within the institution. Key research areas include: Process optimization of machining operations (drilling, hobbing, skiving) Laser-material interaction and surface engineering Development of serious games for manufacturing education Finite element modeling of cutting processes Additive manufacturing of composite materials Recent publications highlight contributions to: Enhanced drilling performance using RSM and ANN Innovative AR interfaces for industrial guidance Laser engraving quality control methodologies Simulation of complex machining processes No specific awards or grants are explicitly mentioned in the provided text, though his extensive publication record indicates sustained research activity. His work integrates theoretical models with practical industrial applications, emphasizing both innovation and educational dissemination through gamified training systems.
Joris Van Kerrebrouck is a postdoctoral researcher at Ghent University within the Faculty of Engineering and Architecture , affiliated with the Department of Information Technology (EA05) . His work focuses on high-speed optical and electronic systems. Research Themes: Silicon photonics, radio-over-fiber technology, neuromorphic photonic circuits, heterogeneous integration, and millimeter-wave communication systems. Key Contributions: Development of ultra-high bandwidth modulator drivers, Tb/s optical transceivers, programmable photonic neurons, and advanced beamforming networks. Collaborations: Active partnerships with IMEC, academic institutions, and industry leaders in photonics and semiconductor technologies. Technical Expertise: SiGe BiCMOS, III-V integration, micro-transfer printing, and optical-electrical co-design.
Kamlesh K Yadav is an Associate Professor in the Department of Molecular & Cellular Medicine at Texas A&M University's School of Medicine. He holds an MTech in Environmental Engineering & Management (IIT Kanpur, 2004) and a PhD in Cell and Molecular Biology (NYU, 2010). His research spans cell signaling (RAS-MAPK pathway), prostate cancer biology, and digital health applications like clinical data mining and genomic analysis. Dr. Yadav has pioneered large-molecule inhibitors targeting the RAS oncogene (Nature Genetics 2007, Nature Chemical Biology 2011). He leads translational research on prostate cancer biomarkers (GATA2 mRNA urine test) and combinatorial therapies. Awards include the 2014 Prostate Cancer Foundation Young Investigator Award and 2012 DoD PCRP Postdoctoral Award. Professional roles include Co-Director of the Foundation of Medicine II course and medical education innovation through Team-Based Learning (TBLC-certified). Patents include Ras/Sos modulators (WO2012122059A1) and pseudouridine biomarkers. His recent work integrates AI with radiomics for cancer aggressiveness prediction (2022) and develops organ-on-a-chip models for drug testing (2022). He also addresses health disparities via genomic analysis of African-American prostate cancer cases (Cancer Reports 2018).
