Dr. Sonia Petrone is a Full Professor of Statistics at Bocconi University's Department of Decision Sciences. She earned her PhD in Statistics from Bocconi University and has held academic positions at the University of Pavia and University of Insubria before joining Bocconi. Her extensive international experience includes research visits across North America, Latin America, Europe, India, and Russia. Her research specializes in Bayesian statistics, with contributions to foundational theory, predictive modeling, Bayesian nonparametrics, and stochastic processes. She currently directs the Bocconi Summer School in Advanced Statistics and Probability and previously led the PhD program in Statistics (2011-2018). Her research portfolio demonstrates consistent focus on Bayesian nonparametric methods, predictive modeling, and applications to complex data structures. Recent work explores urn processes, time series analysis, and network modeling using innovative Bayesian approaches. Awards & Honors: IMS Medallion Lecture Award (2018) ISBA Foundational Lecture Award (2016) Fellow of International Society for Bayesian Analysis Fellow of Institute of Mathematical Statistics Fellow of European Laboratory for Intelligent Systems Fellow of Bocconi Institute of Data Science She has held editorial leadership positions as Editor of Statistical Science (2020-2022) and Bayesian Analysis (2010-2014), and served as President of the International Society for Bayesian Analysis (2014).
Prof. Dr. Franziska Jahnke is a Professor in the Faculty of Mathematics and Computer Science at the University of Münster, affiliated with the Institute for Mathematical Logic and Foundational Research. She specializes in model theory and its applications to algebra, particularly valued fields, set theory, and arithmetic definability. Her research bridges foundational mathematics and algebraic structures, with a focus on henselian valuations, NIP fields, and combinatorial aspects of valued fields. Education: Diplom in Mathematics from Albert-Ludwigs-Universität Freiburg (2009), DPhil in Mathematics from the University of Oxford (2013). Academic roles include Junior Professor at Münster (2017–2024), and a visiting position at the University of Amsterdam (2023–2024). Research Interests: Model theory of fields, arithmetic definability of valuations, perfectoid fields, and connections to infinite combinatorics. Key contributions include work on Ax-Kochen-Ershov principles, NIP fields, and classification conjectures in strongly dependent fields. Recent Activities: Organized workshops on non-archimedean geometry and model theory of valued fields. Recipient of the Teaching Prize 2022 and a fellow of the Daimler und Benz Stiftung. Deputy Equal Opportunity Representative in her department. Supervision: Advised multiple PhD students (e.g., Blaise Boissonneau, Simone Ramello) and postdocs. Taught courses on algebra, logic, and model theory, including lectures on valued fields and stability theory.
Professor Joy Y. Zhang is a British sociologist and medical doctor specializing in global science governance, epistemic justice, and the sociology of risk. She holds the position of Professor of Sociology and Founding Director of the Centre for Global Science and Epistemic Justice at the University of Kent. Previously affiliated with institutions like LSE and EHESS (Paris), her work bridges sociology, science policy, and global development. She has advised bodies such as the Royal Society and China’s National Health Commission, and her research emphasizes decolonizing knowledge systems and advancing science diplomacy. Education: PhD in Sociology, London School of Economics (2010) MSc in Sociology, LSE (2006) Medical Degree from Peking University Health Science Centre Research Focus: Explores transnational governance of emerging sciences, epistemic justice, and the rise of Global South actors. Key themes include science diplomacy, citizen science, and environmental politics. Her work challenges Western-centric frameworks, advocating for inclusive global governance models. Grants & Recognition: Secured funding from British Academy, Wellcome Trust, ESRC, and others. Member of prestigious networks like the Human Practices Committee of iGEM and UNESCO’s Inclusive Policy Lab. Noted for integrating art into sociological inquiry, including solo photo exhibitions on bioethical themes. Labs & Initiatives: Leads the Centre for Global Science and Epistemic Justice and co-founded the BioGovernance Commons (UK-China-US collaboration). Her work on ‘genomic solidarity’ and ethical science governance has influenced policy frameworks globally.
Angel Xuan Chang is an Associate Professor at Simon Fraser University's School of Computing Science, where she leads research at the intersection of natural language processing, computer vision, and 3D scene understanding. She holds the prestigious Canada CIFAR AI Chair position and is affiliated with multiple research groups including 3DLG, GrUVi, SFU NatLang, SFU AI/ML, and VINCI. PhD in Computer Science, Stanford University MSc in Computer Science, Stanford University M.Eng in Electrical Engineering and Computer Science, MIT BSc in Computer Science and Engineering, MIT Professor Chang's research primarily focuses on connecting language to 3D representations of shapes and scenes, with particular emphasis on grounding language for embodied agents in indoor environments. Her work spans natural language processing and understanding, linking natural language with visual and 3D representations, multimodal grounding of language, embodied AI, and machine learning applications for biodiversity monitoring through the BIOSCAN project. She has developed methods for synthesizing 3D scenes and shapes from natural language and created various datasets for 3D scene understanding. Her recent publications reveal a strong trend toward integrating language understanding with 3D scene generation and manipulation, with increasing focus on practical applications in embodied AI and biodiversity monitoring. The research shows progression from foundational work on text-to-3D scene generation to more sophisticated approaches for evaluating semantic coherence in generated scenes and developing efficient methods for zero-shot scene modeling. Canada CIFAR AI Chair TUM-IAS Hans Fischer Fellow (2018-2022) Best paper award at 3DV 2025 for 'An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion' Professor Chang actively advises numerous graduate students who appear as first authors on her publications, indicating a strong mentoring program. Her research is supported through multiple channels including the CIFAR AI Chair position and likely various research grants supporting her BIOSCAN-related work and 3D scene understanding projects. She has been involved in organizing multiple workshops at major conferences including ICML, CVPR, and ICLR. Her research is conducted through several interconnected groups: 3DLG (3D Language and Graphics), GrUVi (Graphics, Vision, and Interaction), SFU NatLang (Natural Language Processing), SFU AI/ML, and VINCI. These groups work collaboratively on problems spanning language grounding, 3D scene understanding, embodied AI, and biodiversity applications, creating a rich interdisciplinary research environment.
Professor Marek Sanak serves as Full Professor at the Department of Internal Medicine, Jagiellonian University Medical College in Cracow, Poland. He concurrently holds leadership positions as Acting Director of the Department of Forensic Medicine, Head of the Division of Molecular Biology and Clinical Genetics, and Vice-Rector for Research and International Cooperation since 2016. His academic foundation includes: MD from Jagiellonian University Medical College Specialization in Pediatrics and Genetics PhD from Jagiellonian University Research appointments at Harvard University, University of Paris VI, and University of Zurich Professor Sanak's research integrates clinical genetics with molecular immunology, focusing on asthma pathogenesis, lipid mediators of inflammation, and genetic diagnostics. His laboratory employs advanced techniques including deep DNA/RNA sequencing to identify biomarkers and elucidate disease mechanisms. The work bridges fundamental molecular discoveries with clinical applications in respiratory diseases, allergic disorders, and forensic medicine, demonstrating particular expertise in aspirin-exacerbated respiratory disease and epigenetic regulation of inflammatory pathways. Analysis of his recent publications reveals a strategic evolution from classical asthma research toward molecular genetics and viral pathogenesis. His 2017-2021 work increasingly incorporates epigenetic approaches (DNA methylation, microRNA profiling) while expanding into SARS-CoV-2 research during the pandemic. The publications demonstrate interdisciplinary integration across immunology, respiratory medicine, and molecular diagnostics, with consistent focus on translational applications. His distinguished career has been recognized through numerous honors: The Lancet Investigators Award on Asthma (1997) Polish Ministry of Health Individual Prize (1999) Jagiellonian Laurel (2012) Pro Arte Docendi Award (2014/15) Gold Medal for Long Service (2019) Top 2% of world scientists ranking (Elsevier 2022) As Vice-Rector for Research, Professor Sanak has significantly expanded international collaborations with King's College London, University of Southampton, and University of Zurich. His leadership has secured substantial funding for molecular diagnostics and inflammatory disease research while mentoring numerous early-career researchers. He delivers invited lectures globally for organizations including the American Thoracic Society and European Academy of Allergy and Clinical Immunology. Professor Sanak directs integrated research units across the Division of Molecular Biology and Clinical Genetics, Division of Biochemical and Molecular Diagnostics at University Hospital Cracow, and the Department of Forensic Medicine. These teams combine clinical service with basic research to advance genetic diagnostics and understand disease mechanisms, maintaining forensic genetics expertise developed over 20 years of practice.
Prof. Dr. Barış ÇOBAN is a prominent academic and administrator at Doğuş Üniversitesi, serving as Dean of the Faculty of Arts and Sciences and Chair of the Department of Communication Sciences. He holds a PhD from İstanbul Üniversitesi (2004) and has held academic positions at multiple institutions since 1997, including roles as Assistant Professor at universities like Yeni Yüzyıl Üniversitesi and Okan Üniversitesi before becoming a full professor at Doğuş Üniversitesi in 2016. His academic journey also includes administrative roles like Dean (2018–present) and Department Chair at various institutions. His research focuses on alternative media, social movements, citizen journalism, and surveillance studies. Notable publications include works on digital journalism, Gezi Resistance activism, and counter-surveillance in Turkey. He has contributed to edited volumes such as Panoptikon 2.0 and Assault on Journalism , and his work frequently addresses media ethics, globalization impacts on communication, and the role of social media in societal change. Courses taught include 'Research in Mass Media,' 'Alternative Media,' and 'Media Ethics' in both Turkish and English. He has supervised over 10 master’s and doctoral theses on topics ranging from citizen journalism to media ethics in Turkey. His interdisciplinary approach bridges media theory with activism, emphasizing critical discourse analysis and media democratization efforts. Academic service includes roles on university boards, editorial work for journals like Communications , and contributions to international conferences on media freedom and journalist safety. His work highlights the intersection of technology, power dynamics, and media’s role in shaping societal narratives.
Diego Garlaschelli is Professor of Theoretical Physics at the IMT School for Advanced Studies in Lucca, Italy, and at the Lorentz Institute for Theoretical Physics, University of Leiden, the Netherlands. He leads the NETWORKS research unit at IMT and the Econophysics and Network Theory group at Leiden. He is also an external faculty member at the Complexity Science Hub in Vienna and an associate member of the Enrico Fermi Research Center in Rome. His affiliations reflect a strong international and interdisciplinary research profile in network science and statistical physics. He holds a master's degree in theoretical physics from the University of Rome III (2001) and a PhD in Physics from the University of Siena (2005). His postdoctoral experience includes positions at the Australian National University, the University of Siena, the University of Oxford, and the Sant’Anna School of Advanced Studies in Pisa. Garlaschelli’s research spans network theory, statistical physics, econophysics, financial complexity, ecological networks, and social dynamics. He applies maximum entropy models, information theory, and random graph frameworks to understand complex real-world systems. His teaching includes courses in Network Theory, Econophysics, and Complex Systems at both PhD and MSc levels. The 15 most recent publications highlight a consistent focus on network reconstruction, ensemble inequivalence, renormalization, and applications to financial and socio-economic systems. Key themes include statistical inference in networks, resilience, and multi-scale modeling, with publications in top journals such as Nature Reviews Physics , Physics Reports , Science , and Physical Review Letters . His scientific awards include the Best Paper Award at the 6th International Workshop on Self-Organizing Systems (2012) and the Jan Kijne Prize (2013) as supervisor. He has secured multiple grants from NWO, the European Union, and the Royal Society, and has supervised over 40 students at PhD, master’s, and bachelor’s levels. He also mentors postdocs and visiting scientists. Garlaschelli leads and organizes major international workshops and schools in network science and complex systems. He serves on scientific committees and is an active referee for journals like Nature and Physical Review Letters , as well as funding agencies including the ERC and NWO.
Xiaoyu Cai is an Assistant Professor at the Department of Medicine, Loyola University Chicago, specializing in lung regeneration, aging biology, and stem cell plasticity. Her research focuses on the molecular mechanisms governing alveolar type 2 (AT2) stem cell dynamics during aging and chronic lung diseases. Education: Bachelor of Medicine (Peking University, 2012), Master of Science (Peking University, 2015), PhD in Biology of Aging (USC & Buck Institute, 2021) Key Research Areas: Lung regeneration, inflammation resolution, stem cell aging, 3D organoid cultures Methodologies: Single-cell multiome, mouse genetics, multicellular organoid systems Collaborations: Translational partnerships with clinical teams for bench-to-bedside applications Dr. Cai's recent work explores lineage plasticity in aged lung stem cells, ferroptosis suppression via CRISPR screens, and cellular aging atlases across species. She previously held a postdoctoral position at Genentech Inc. and maintains a professional lab website. Contact: xcai2@luc.edu | Office: CTRE 123
Septimiu E. Salcudean is a Professor at the University of British Columbia's Department of Electrical and Computer Engineering, holding the C.A. Laszlo Chair in Biomedical Engineering and a Canada Research Chair. His research focuses on medical robotics, image guidance systems, and ultrasound elastography. He has contributed to advancements in haptic interfaces, teleoperation, and needle insertion modeling. Education: B.Eng and M.Eng from McGill University (1979-1981), Ph.D. from UC Berkeley (1986). He has held positions at IBM T.J. Watson Research Center and was a Killam Research Fellow at ONERA in France. His work spans robotics, biomedical engineering, and surgical systems. Research interests include medical robotics, real-time imaging, and surgical navigation. Notable projects involve ultrasound-guided surgery, vibro-elastography for tissue characterization, and haptic feedback systems. His lab, the Robotics and Control Laboratory (RCL), develops technologies like the da Vinci surgical system integration with ultrasound imaging. Awards include the NSERC Synergy Award, IEEE Fellowship, and UBC Killam Research Prize. He has advised over 30 graduate students and published extensively in robotics and biomedical journals.
Christian Bargetz is a Professor of Functional Analysis at the University of Innsbruck, Austria, affiliated with the Faculty of Mathematics, Computer Science, and Physics (MIP). His primary research focuses on nonlinear functional analysis, Banach space theory, and distribution theory. He teaches advanced courses such as Optimization, Distribution Theory, and Functional Analysis, demonstrating his expertise in both theoretical and applied aspects of his field. Education: Completed his PhD in 2012 at the University of Innsbruck under the supervision of Norbert Ortner. His diploma thesis (2008) explored differential behaviors with Ulrich Oberst. Bargetz has held continuous academic positions since 2008, including roles as a lecturer and researcher. Research Interests: Specializes in iterative projection methods, generic properties of nonexpansive mappings, Fréchet spaces, and vector-valued distributions. His work bridges functional analysis with geometric measure theory and optimization, with applications in metric geometry and topological tensor products. Publications: Over 30 peer-reviewed articles in prestigious journals such as Canadian Journal of Mathematics , Journal of Mathematical Analysis and Applications , and Proceedings of the American Mathematical Society . Recent work includes studies on extremal nonexpansive mappings and Lipschitz function spaces. Grants & Projects: Principal investigator in FWF-funded projects on nonexpansive mappings and Banach spaces. Collaborates internationally, including with institutions in Israel, Poland, and Serbia. Teaching: Leads advanced courses in functional analysis, optimization, and distribution theory. Supervises bachelor's theses and master's projects on topics like extension operators for Lipschitz functions. Affiliations: Active member of the Functional Analysis working group and regularly participates in international conferences such as the Banach Afternoon, Winter School in Abstract Analysis, and DMV-ÖMG Annual Conferences.
Vladimir Kazeev is an Assistant Professor at the Faculty of Mathematics, University of Vienna , where he has held a faculty position since 2019. He also held previous academic appointments as a Szegő Assistant Professor at Stanford University (2017–2019), a postdoctoral researcher at the University of Geneva (2015–2017), and research positions at ETH Zurich (2011–2015), Russian Academy of Sciences (2008–2011), and Moscow Institute of Physics and Technology (2009). His research focuses on adaptive, data-driven numerical methods for differential equations, nonlinear low-parametric approximation, and numerical linear algebra. His work intersects computational mathematics, tensor methods, and high-dimensional problem-solving, particularly in the context of partial differential equations (PDEs) and stochastic modeling. The 15 most recent publications reveal a strong emphasis on quantized tensor-structured methods for PDEs, low-rank approximations, and high-dimensional numerical analysis. His research spans theoretical advancements in tensor decomposition, practical applications in chemical reaction networks, and novel discretization techniques for multiscale and degenerate diffusion problems. Scientific awards include the prestigious ETH Medal for outstanding doctoral theses (2016) Russian Academy of Sciences Medal for outstanding student works in mathematics (2011) Advising and teaching activities include supervising Jason Zhu (Stanford, 2019) and Simon Etter (ETH Zurich, 2014), as well as teaching advanced courses in tensor methods, numerical analysis, and PDEs at the University of Vienna, Stanford University, and the University of Geneva. His service to the community includes peer review for 15+ journals and co-organizing minisymposia at SIAM meetings.
Hakan Özkan is a Privatdozent and Research Associate at the Institute of Arabic and Islamic Studies, Department of Middle Eastern Studies, University of Münster, where he has been working since 2007 in various capacities. He was awarded his Venia Legendi (Habilitation) in November 2019 for Arabic and Islamic Studies with his thesis 'History of Eastern Zajal – Dialectal Arabic Verse Poetry from the East of the Arab World.' His academic background includes a Franco-German doctorate completed in 2006 from Université de Provence and University of Cologne, supervised by Claude Audebert and Monika Gronke, with external reviewers including Wolfhart P. Heinrichs from Harvard University. His educational background includes: 2019: Venia Legendi for Arabic and Islamic Studies, University of Münster 2002-2006: Franco-German Doctorate in Arabic Studies and Narratology (Université de Provence and University of Cologne) 1995-2000: Master of Arts in Islamic Studies, Oriental Languages and Literatures (University of Cologne) 2000-2001: Course program in Modern Standard Arabic and Syrian-Lebanese dialect at Institut Français d'Etudes Arabes de Damas Özkan's research focuses on premodern Arabic dialect poetry, particularly zajal and muwashshaḥ forms, narratology, prosimeter literature, socio-literary history, and diachronic dialectology. His interdisciplinary approach bridges linguistic analysis with literary criticism, examining how dialectal forms evolved within Arabic literary traditions across different historical periods and geographical regions. He has conducted extensive field research in Arab countries including Syria, Egypt, Lebanon, Tunisia, and Morocco, with particular emphasis on the historical development of poetic forms from the Mamluk through Ottoman periods. His publication history demonstrates consistent scholarly contributions to Arabic literary studies, with his 2020 monograph 'History of Eastern Zajal' representing a landmark study in the field. His recent work has expanded to include analyses of religious poetry praising the Prophet Muhammad in zajal form, wine poetry in Arabic literary traditions, and the integration of dialects into Arabic language teaching methodologies. His scholarly output spans monographs, critical editions, encyclopedia entries, journal articles, and book chapters across multiple languages including German, English, French, and Turkish. Among his academic recognitions: 2018: Second place on shortlist for W2 Professorship for Arabic Language and Translation Science, University of Leipzig 2008: Offered Junior Professorship at American University in Cairo (declined) 2007: Second place on shortlist for maître de conférence position at University of Nancy 2007: Official Qualification from National University Council (CNU) for positions as maître de conférence at French universities Özkan has served on numerous academic committees, including appointment committees for professorships in Sinology and Arabic and Islamic Studies at the University of Münster. He has been a juror for the Sheikh Hamad Award for Translation and International Understanding in Doha and has served on the steering committee for the 'Translation for Dialogue' program of the Anna Lindh Foundation. His editorial work includes reviewing for Mamluk Studies Review, Die Welt des Islams, and Middle Eastern Literatures since 2012. His scholarly activities extend to linguistic fieldwork on Pontic Greek dialects in Turkey and organizing significant academic conferences including 'The Race Course of Literature – An-Nawāǧī and His Contemporaries' in 2018 at the University of Münster. His multilingual capabilities (Arabic, Turkish, German, French, English, Persian, Ottoman Turkish, and knowledge of Modern Greek) enable his comparative work across multiple linguistic and cultural traditions in the Mediterranean region.
Nozomu Togawa is a Professor at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering, specializing in Computer Science. He has held this position since 2009 and also serves as Chief Scientific Officer (CSO) of Quanmatic Inc. since 2022. With a PhD in Engineering from Waseda University (1997), his academic journey includes positions at Waseda University and the University of Kitakyushu before his current professorship. His research interests focus on integrated system design , quantum computation , and information security . Togawa has published extensively with over 368 papers and significant citation metrics (Scopus h-index: 23, Google Scholar h-index: 28). His work bridges theoretical quantum computing with practical security applications, particularly in hardware security and IoT systems. Togawa's research demonstrates a clear progression from traditional hardware security toward quantum-inspired computing solutions. His recent publications focus on Ising machines, quantum annealing, and hardware Trojan detection, showing how quantum approaches can solve complex optimization problems in security contexts. He has made significant contributions to applying quantum computing techniques to practical problems like course selection optimization, travel planning, and hardware security verification. Among his notable recognitions are the Minister of Education, Culture, Sports, Science and Technology Award for Science and Technology (2018), SCOPE Results Development Promotion Award (2022), and multiple Best Paper Awards. He serves on important committees including the Ministry of Internal Affairs and Communications Cyber Security Task Force and the Institute of Electronics, Information and Communication Engineers' VLSI Design Technology Research Committee. Togawa actively mentors students who frequently appear as co-authors on his publications. His research group produces high-impact work in quantum computing applications and hardware security, with strong industry connections through his CSO role at Quanmatic Inc. He has received substantial research funding supporting his innovative work at the intersection of quantum computing and security.
Sara Zahedi is a Professor of Numerical Analysis at the Department of Mathematics, KTH Royal Institute of Technology, working within the Division of Numerical Analysis, Optimization and Systems Theory. She serves as an Associate Editor for the SIAM Journal on Numerical Analysis and contributes to the SCI Faculty Board to enhance collaboration and transparency in academic decision-making. Her educational background includes a doctorate from KTH on numerical methods for fluid interface problems followed by a postdoctoral position at Uppsala University. Doctorate: KTH Royal Institute of Technology Postdoctoral Position: Uppsala University Zahedi's research bridges mathematical theory and practical applications, focusing on computational methods for partial differential equations in evolving domains. She pioneers Cut Finite Element Methods (CutFEM) to eliminate re-meshing requirements in multiphase flow simulations, ensuring accuracy and robustness when interfaces separate immiscible fluids. Her work specifically targets challenges in large deformations and time-dependent geometries. Analysis of her recent publications reveals a concentrated research trajectory in advancing CutFEM for diverse applications including Stokes flow, Darcy flow, Maxwell's equations, and hyperbolic conservation laws. Key trends include high-order conservative schemes, divergence preservation, stabilization techniques for unfitted meshes, and extensions to surface PDEs and multi-physics problems. Her scientific recognition includes: European Mathematical Society Prize (2016) for outstanding contributions by young researchers Wallenberg Fellowship (2019) with extension granted in 2024 Zahedi serves as examiner for Degree Projects in Scientific Computing (SF250X, SF259X) and course responsible for Engineering Mathematics projects (SA120X). Her Wallenberg Fellowship provides substantial research funding supporting her work on numerical algorithm development. While specific lab structures aren't detailed, her research operates within KTH's Division of Numerical Analysis, emphasizing collaborative development of simulation tools for industrial and scientific applications. Her current research focuses on extending CutFEM to complex multi-physics scenarios with emphasis on conservation properties and computational efficiency, with potential applications in aerospace, biomedical engineering, and environmental modeling.
Li Tang is an Associate Professor with tenure at École polytechnique fédérale de Lausanne (EPFL), affiliated with the Institute of Bioengineering (IBI) and the Institute of Materials Science and Engineering (IMX) within the School of Engineering (STI). She leads the Laboratory of Biomaterials for Immunoengineering, focusing on developing innovative strategies at the intersection of immunology, materials science, and cancer therapy. Her work bridges fundamental research and clinical translation, with multiple ongoing clinical trials based on CAR-T cell therapies developed in her lab. B.S. in Chemistry, Peking University (2003–2007) Ph.D. in Materials Science and Engineering, University of Illinois at Urbana-Champaign (2007–2012) Postdoctoral Fellow, MIT (2013–2016) Her research lies at the forefront of immunoengineering, integrating chemical, metabolic, and mechanical approaches to modulate immune responses. Key areas include cancer immunotherapy, immune metabolism, mechano-immunology, and biomaterials. She investigates how physical and biochemical cues can reprogram T cells, overcome exhaustion, and enhance tumor targeting. Her work emphasizes multidimensional immunity-disease interactions, aiming to develop safer and more effective therapies for cancer and autoimmune diseases. The recent publications highlight a strong trend in engineering immune cells (especially CAR-T) for enhanced durability and function, using advanced biomaterials and metabolic reprogramming. There is a clear focus on overcoming challenges in solid tumors, modulating the tumor microenvironment, and translating findings into clinical applications. The use of nanoparticle delivery, single-cell analysis, and biomechanical cues are recurring themes across her work. Notable scientific awards include: Friedrich Miescher Award (2025) ERC Starting Grant (2018) MIT TR35 Innovators Under 35 (China Region, 2020) Nano Research Young Innovator Award (2018) Biomaterials Science Emerging Investigator (2019) Materials Horizons Emerging Investigator (2020) Li Tang actively mentors PhD students across multiple doctoral programs (EDBB, EDMS, EDMX) and has advised numerous graduates who have gone on to prestigious postdoctoral and faculty positions. She is involved in significant research grants, including an Innosuisse project with Novochizol SA, and her lab is supported by competitive funding. She teaches core courses such as Immunoengineering and Next-Generation Biomaterials, shaping the next generation of scientists. Her lab fosters interdisciplinary collaboration and innovation, with active projects in chemical, metabolic, and mechanical immunoengineering, as well as CAR-T cell development. She is the Principal Investigator of the Tang Lab, which includes postdoctoral fellows, PhD students, and technical staff. The lab is actively recruiting and has a strong publication and clinical translation record. Tang Lab is also involved in multiple MA/BA training projects and promotes student engagement in cutting-edge research. The lab’s discoveries are being translated into clinical trials, reflecting a strong commitment to translational science.
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