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Nils Henrik HalbergView profile

Professor

• Cancer Metabolism
• Obesity and Cancer
• Metastatic Colonization
• +7 more

Nils Henrik Halberg is a Professor and NCMM Young Associate Investigator at the Department of Biomedicine, University of Bergen. His research focuses on the mechanistic links between obesity and cancer, particularly in breast and pancreatic cancers. Education: Graduate Studies: University of Copenhagen (completed 2009) Postdoctoral Training: UT Southwestern Medical Center (Dr. Philipp Scherer), Rockefeller University (Dr. Sohail Tavazoie) Halberg's research investigates how metabolic alterations in obesity promote cancer development and metastasis. His lab employs in vitro and in vivo cancer models, metabolic analysis, molecular biology, and clinical bioinformatics to study metastatic colonization and tumor microenvironment interactions. Key areas include hypoxia, fibrosis, and epigenetic regulation in obese adipose tissue and their impact on cancer progression. The 15 most recent publications reflect a consistent focus on obesity-cancer interactions, using advanced techniques like spatial transcriptomics, high-dimensional immune profiling, and metabolic pathway analysis. Themes include epigenetic memory of obesity, one-carbon metabolism, KRAS signaling, and immune modulation in cancer. The research spans breast, pancreatic, and lung cancers, emphasizing metabolic reprogramming and tumor-stroma crosstalk. Scientific Awards: No specific awards mentioned in the text. Advising and Grants: Halberg supervises multiple graduate students, as evidenced by numerous master’s theses and doctoral dissertations under his guidance. His lab is actively funded, enabling the operation of a research group conducting systemic studies on cancer metabolism and metastasis. He teaches BMED331 and BMED381 at the University of Bergen. Labs and Teams: He leads the Halberg Group, which is part of the 'Metabolism and Cancer' and 'Cellular Networks' research groups at the Department of Biomedicine. The lab maintains a website and is affiliated with the Centre for Cancer Biomarkers (CCBIO) or similar networks, indicated by the NCMM (Norwegian Centre for Molecular Medicine) Young Associate Investigator title.

Chris FietkiewiczView profile

Associate Professor

• Computational Neuroscience
• High Performance Computing
• Neural Simulation
• +7 more

Chris Fietkiewicz is an Associate Professor in the Department of Mathematics & Computer Science at Hobart and William Smith Colleges. He joined the faculty in 2019 and is based in Lansing Hall, with research interests in computational neuroscience and high-performance computing. Research Interests: His work focuses on Computational Neuroscience , particularly the development of neural simulators for educational and clinical applications. He leads the Applied Neural Control Toolkit (ANC Toolkit) , which enables simulation of neural and axonal responses for neuroprosthetic development. His research also spans High Performance Computing , including software optimization, parallel computing, and cluster management tools. Collaborations: He collaborates with Dr. Thomas Mortimer (Case Western Reserve University) on neural stimulation and with Dr. Chen Liu (Tianjin University) on Parkinson’s disease modeling and deep brain stimulation. His publications reflect a strong interdisciplinary focus on biomedical signal processing, control systems, and neuromorphic computing. Publication Trends: His recent work (2016–2022) centers on closed-loop control of pathological neural oscillations, computational models of Parkinson’s disease, and real-time neural simulation. These studies appear in top journals like IEEE Transactions and Biomedical Signal Processing and Control , emphasizing algorithmic innovation and clinical relevance. Scientific Contributions: Co-developer of the ANC Toolkit for neuroscience education. Researcher in neural control systems and HPC optimization. Active contributor to computational models of movement disorders. Advising and Grants: While no formal students are listed, his collaborative projects suggest mentorship of undergraduate and graduate researchers. Grant details are not provided, but his research cluster and web tools indicate funded infrastructure development. Labs and Teams: He is building a research computing cluster and developing web-based batch programming tools, indicating a focus on scalable, accessible computational neuroscience platforms.

• Computational Fluid Dynamics (CFD)
• Gender Studies
• Gender and Education
• +3 more

Dr. Elisabet Mas de Les Valls Ortiz is a Researcher in the Department of Thermal Machines and Engines at the Universitat Politècnica de Catalunya (UPC) . Her work focuses on two major areas: Nuclear Fusion Technology (particularly Magnetohydrodynamics and Liquid Metal Breeding Blankets ) and Gender Studies in Engineering Education . She leads research projects like "Gestió térmica de electrolizadors per a la producció d'hidrogen" and contributes to educational initiatives such as "Viu, Experimenta i Comparteix l'Enginyeria Industrial" . Education : M.Sc. in Chemical Engineering, Ph.D. in Nuclear Engineering Research Groups : CREMIT (Thermal Machines) and CER-H2 (Hydrogen Research) Her nuclear fusion research involves CFD simulations of helium bubble dynamics , tritium permeation , and MHD thermofluid flows in ITER test blankets . She develops RELAP5-3D and OpenFOAM models for supercritical CO2 cycles and liquid metal cooling systems . In gender studies, she analyzes gender dimension in teaching guides , student absenteeism , and gender equality plans in European universities. She has presented 52 conference papers and authored 25 journal articles, with recent work on helium bubble transport (2024), gender metrics in education (2025), and thermal modeling of PEM electrolyzers (2024). Her research intersects Nuclear Engineering , Thermal Fluid Dynamics , and Gender Policy Analysis .

Luca Roberto Augusto MoriconiView profile

Associate Professor

• Field Theory
• Statistical Mechanics
• Condensed Matter
• +4 more

Luca Roberto Augusto Moriconi is an Associate Professor at the Institute of Physics , Universidade Federal do Rio de Janeiro (UFRJ), with a PhD in Physics from PUC-RJ. His research focuses on Field Theory, Statistical Mechanics , and their applications to Condensed Matter and Turbulence . Education: PhD in Physics, Pontifícia Universidade Católica do Rio de Janeiro (PUC-RJ) Research Interests span the statistical physics of turbulence, vortex dynamics, multifractality, and magnetohydrodynamics. His recent work explores coherent structures in pipe flows, circulation statistics, and numerical methods like lattice Boltzmann simulations. Publications highlight interdisciplinary applications of turbulence in fluid dynamics, magnetohydrodynamics, and condensed matter systems, with a focus on extreme events, stochastic models, and geometric approaches to turbulent flows. Scientific Awards: CNPq Research Productivity Scholarship – Level 2 Teaching and Outreach include graduate courses on statistical field theory, thermodynamics, and turbulence. He co-leads the UFRJ Turbulence Research Group , fostering collaboration across physics, engineering, and mathematics. Outside academia, he plays the transverse flute .

Oliver SchmidtView profile

Associate Professor

• Hydrodynamic stability
• Computational fluid mechanics
• Turbulent flows
• +3 more

Oliver Schmidt is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. His research combines data-driven and theoretical methods to study hydrodynamic stability, computational fluid mechanics, and aeroacoustics, with a focus on turbulent jet mixing noise mitigation for silent aircraft development. Department: Mechanical and Aerospace Engineering Research focus: Turbulent flows, modal decomposition, model order reduction Educational Background: Ph.D. in Aeronautical Engineering, University of Stuttgart (2014) Graduate studies at Berlin University of Technology and University of Washington (2009) Research Interests center on computational flow physics, intermittency and rare events in turbulence, and synergistic empirical-theoretical approaches for low-order model design. His work has applications in aerospace optimization and noise control. Scientific Awards: Boeing/Lufthansa Reinhardt Abraham Scholarship Association of German Engineers’ excellent performance award Professional Affiliations include UC San Diego, Caltech Computational Flow Physics Group, Stanford’s Center of Turbulence Research, Von Karman Institute for Fluid Dynamics, and German Aerospace Center.

Gregor DecristoforoView profile

Research Fellow

• Plasma Physics
• Fusion Energy
• Computational Physics
• +3 more

Gregor Decristoforo is a plasma physics researcher at UiT The Arctic University of Norway specializing in computational modeling of magnetically confined fusion plasmas. His work focuses on turbulence and transport phenomena in scrape-off layers, particularly studying blob dynamics and intermittent fluctuations critical for fusion energy development. His research interests span plasma turbulence modeling , computational physics , and fusion boundary layer phenomena . Using advanced numerical simulations and stochastic modeling techniques, he investigates coherent structures in magnetized plasmas, developing blob tracking algorithms and GPU-accelerated computation methods to analyze cross-field particle transport mechanisms. His publication record shows consistent research output from Master's research (2016) through doctoral work (2021) to recent first-author journal articles (2024), demonstrating ongoing contributions to understanding plasma exhaust processes in magnetic confinement devices. Current work examines RF-induced flow effects during ion cyclotron resonance heating, addressing key challenges in mitigating scrape-off layer transport for viable fusion energy production.

Leonardo BadiaView profile

Associate Professor

• Mathematical Optimization
• Telecommunications
• Game Theory
• +4 more

Leonardo Badia is an Associate Professor at the University of Padova . He holds a PhD in Information Engineering from the University of Ferrara and has held academic positions at IMT Lucca Institute and the University of Padova since 2016. Research Interests : His work focuses on mathematical optimization for communication networks, including Markov models for protocol analysis, cross-layer optimization of routing/scheduling/resource allocation, Age-of-Information (AoI) , energy harvesting , and game theory applications. He has published over 200 papers in top-tier journals and conferences. Recent Articles highlight his contributions to AoI optimization, adversarial modeling in CPS, strategic cooperation in IoT/metaverse, and energy-efficient network protocols. His work spans telecommunications , game theory , and networking , with subfields like hybrid ARQ , multi-radio resource management , and QoS-aware scheduling . Awards : Best Paper Awards at IEEE MobiWac 2005, IEEE CAMAD 2006, and IEEE Globecom 2007.

Indraneel ChakrabortyView profile

Professor

• Banking
• Financial Intermediation
• Corporate Finance
• +5 more

Indraneel Chakraborty is a Professor and Department Chair of Finance at the University of Miami's Miami Herbert Business School. He also serves as Associate Dean for Graduate Business Programs and holds a cross-appointment in the College of Arts and Sciences. His research focuses on banking, financial intermediation, corporate finance, and applied economics. Ph.D. in Finance, The Wharton School, University of Pennsylvania (2010) M.S. in Electrical Engineering and Computer Science, MIT (2003) B.Tech. in Computer Science Engineering, IIT Guwahati (2001) - President of India Gold Medalist His work examines financial market regulation, monetary policy transmission, tax policy implications, and energy economics. Key publications explore topics like credit default swaps, financial statement complexity, housing market effects, venture capital signaling, and cross-country labor supply dynamics. Recent articles analyze fund liquidity requirements, skilled labor in bank lending, renewable energy contracts, and financial integration through production networks. These works span finance, economics, and energy policy with specific subfields in systemic risk, credit allocation, and market design. Notable awards include the University of Miami Provost's Research Award (2024), multiple Excellence in Teaching Awards (2018-2024), Douglas D. Evanoff Best Paper Award (2016), and Marshall Blume Award (2013). He received the President of India Gold Medal (2001) and National Talent Scholar (1995). He has industry experience in financial instruments at Citigroup (2005) and Citadel Investment Group (2003-2005). His technical background includes patents in wireless power management and network protocols from earlier career stages.

Yun Rose LiView profile

Assistant Clinical Professor

• Radiation Oncology
• Cancer Genomics
• Oxidative Stress in Cancer
• +5 more

Dr. Yun Rose Li, M.D., Ph.D. serves as Clinical Assistant Professor at the Translational Genomics Research Institute (TGen), part of City of Hope National Medical Center, and Assistant Professor in Radiation Oncology & Cancer Genetics and Epigenetics. She specializes in treating genitourinary malignancies including prostate, bladder, and kidney cancers while leading innovative research at the intersection of radiation oncology, cancer genomics, and metabolic interventions. Her research program focuses on three interconnected areas: (1) investigating inflammation, oxidative stress, and mutational signatures as biomarkers of cancer risk; (2) exploring epigenomic signatures of cancer origins and the impact of tissue development; and (3) developing metabolic strategies to mitigate radiation treatment toxicity. Dr. Li's work centers on the 'yin and yang' nature of oxidative stress in cancer - both as a driver of cancer development and as a mechanism for cancer treatment. Analysis of her publications reveals a strong translational focus, with increasing emphasis on clinical applications of basic science discoveries. Her recent work increasingly addresses practical interventions to improve patient quality of life during and after cancer treatment, particularly through metabolic approaches like intermittent fasting during radiation therapy. NIH Director's Award for Early Independence (funding her clinical trial on metabolic interventions during radiation therapy) As both clinician and researcher, Dr. Li emphasizes the critical balance between treatment efficacy and quality of life considerations. She leads an integrated 'humid lab' that combines wet and dry laboratory approaches to investigate fundamental cancer mechanisms while developing practical clinical applications. Her current Phase II randomized trial evaluating intermittent fasting during pelvic radiation therapy represents the direct translation of her basic science insights into patient care.

Xiaoping JIAView profile

Professor

• Multi-scale acoustics of granular media
• Coherent elastic waves
• Contact mechanics
• +7 more

Xiaoping JIA is a Professor at Gustave Eiffel University , affiliated with the Langevin Institute . His work bridges acoustics , granular physics , and geophysics , with a focus on understanding wave propagation, frictional dynamics, and seismic triggering mechanisms in complex media. PhD in Physical Acoustics from Pierre and Marie Curie University (Paris 6) B.Sc. in Physics from Nanjing University His research explores: Multi-scale granular acoustics : Investigating how ultrasound interacts with granular materials to induce flow and measure internal states Nonlinear wave behavior : Time-reversal focusing, velocity weakening/strengthening, and scattering in heterogeneous media Dynamic triggering mechanisms : Linking seismic waves to landslides, slope instabilities, and frictional failure Key article trends include: Developing ultrasonic monitoring for granular compaction and damage Modeling acoustic lubrication at grain contacts Characterizing stick-slip dynamics with high-resolution acoustic emission analysis Simulating two-time scale granular flow under vibro-acoustic stress Publications span geophysical journals (PNAS, JGR, GRL) and physics/soft matter outlets (Phys. Rev. E, Soft Matter, Europhys. Lett.), emphasizing ultrasound as a tool for probing granular rheology and failure precursors.

WATANABE TakeshiView profile

Professor

• Fluid Engineering
• Atmospheric Sciences
• Mathematical Physics
• +4 more

Professor Takeshi Watanabe serves in the Department of Applied Physics at Nagoya Institute of Technology's Graduate School of Engineering. Specializing in fluid dynamics and turbulence theory, his research bridges fundamental physics with atmospheric and industrial applications. Education: Doctor of Science (2000.03, Kyushu University) Master of Science (1997.03, Kyushu University) Bachelor's Degree (1995.03, Tokyo University of Science, Faculty of Science, Department of Applied Physics) Watanabe's research focuses on turbulent flows , particularly particle-laden turbulence, cloud microphysics, and passive scalar transport. His work employs advanced computational techniques including direct numerical simulation (DNS) to investigate phenomena like energy dissipation statistics, vortex dynamics, and polymer scission in turbulent environments. Key contributions include modeling turbulence modulation by particles and supersaturation spectra in cloud systems. His publication record demonstrates consistent high-impact contributions to fluid mechanics, with recent articles in Physical Review Fluids and Journal of Fluid Mechanics addressing fundamental turbulence characteristics across diverse applications from atmospheric science to industrial fluid systems. Awards: Fellow Member Certification (Japan Society of Fluid Mechanics, 2023) HPCI Outstanding Research Achievement Award (RIST, 2021) Japan Fluid Mechanics Society Central Chapter Outstanding Presentation Award (2004) As Principal Investigator for multiple competitive grants including JSPS Kakenhi projects (totaling over ¥48 million), Watanabe leads collaborative research on cloud turbulence and particle-fluid interactions. His advisory role extends to high school outreach programs at Nagoya Institute of Technology, demonstrating commitment to science education. Watanabe actively contributes to academic governance as理事 (Board Member) of the Japan Society of Fluid Mechanics and strategic committee member at the National Institute for Fusion Science, where his expertise in turbulence informs plasma simulation research.

Thomas LavstsenView profile

Professor

• Malaria
• Host-pathogen interactions
• Molecular Biology
• +6 more

Thomas Lavstsen is a Professor in the Department of Immunology and Microbiology at the University of Copenhagen's Faculty of Health and Medical Sciences. He leads the DISCOVERY team at the Center for Medical Parasitology (CMP), focusing on molecular aspects of host-microbe interactions during human malaria infection. His primary research areas include: Malaria pathogenesis and immunity Molecular characterization of host-parasite interactions mediated by PfEMP1 proteins Vaccine development against malaria based on PfEMP1 Adjunct therapies to alleviate severe malaria symptoms Molecular evolution of Plasmodium falciparum Structural biology of parasite adhesion proteins Antibody responses to malaria infection Lavstsen's research has significantly advanced our understanding of how Plasmodium falciparum uses PfEMP1 proteins to bind to human receptors, particularly the endothelial protein C receptor (EPCR), which is linked to severe malaria in children. His work has shown that specific subsets of PfEMP1 proteins confer different endothelial receptor binding phenotypes and cause different severe malaria syndromes. This discovery has opened new avenues for vaccine development and understanding malaria immunity. His recent publications demonstrate a strong focus on malaria epidemiology, antibody responses, gene expression analysis, and computational approaches to understanding parasite biology. The research spans from basic molecular mechanisms to clinical applications and public health interventions, with particular emphasis on how parasites evade immune responses while maintaining critical binding functions. Lavstsen has received recognition through numerous citations and media attention for his work, with research featured in major news outlets and discussed on social media platforms including X, Bluesky, and Facebook. His research has been picked up by at least 12 news outlets and shared by numerous researchers on academic platforms. He actively collaborates with researchers across multiple countries, particularly in malaria-endemic regions of Africa, to understand the epidemiology and pathogenesis of malaria in real-world settings. His laboratory employs a multidisciplinary approach combining molecular biology, structural biology, bioinformatics, and clinical research to tackle the complex challenges of malaria pathogenesis.

• Malaria Research
• Parasitology
• Molecular Biology
• +4 more

Helle Hansson is an Assistant Professor in the Department of Immunology and Microbiology at the University of Copenhagen's Faculty of Health and Medical Sciences. She is affiliated with the DRUGS team (Drug Resistance Understanding and Genomic Studies) and conducts research primarily focused on malaria parasite biology and drug resistance mechanisms. Her work bridges molecular biology, epidemiology, and public health to address critical challenges in malaria control and elimination efforts globally. Education: PhD in Molecular Biology, University of Copenhagen (2009-2015), awarded June 26, 2015 MSc in Parasitology, University of Copenhagen (2006-2007), awarded November 19, 2007 Dr. Hansson's research interests center on molecular mechanisms of drug resistance in $$\text{Plasmodium falciparum}$$, particularly related to antimalarial treatments and seasonal chemoprevention strategies. She investigates genetic markers of resistance, parasite population dynamics, and the impact of control interventions on resistance selection. Her work also extends to vector biology, examining insecticide resistance in $$\text{Anopheles}$$ mosquitoes. Through genomic and transcriptomic approaches, she contributes to understanding how malaria parasites adapt to drug pressure and environmental changes, with implications for treatment policy and malaria elimination strategies. Analysis of Dr. Hansson's recent publications (2023-2025) reveals a strong focus on molecular surveillance of antimalarial drug resistance markers across Africa. Her work spans West, Central, and East Africa, examining resistance to sulfadoxine-pyrimethamine and artemisinin derivatives. Notably, she has contributed to understanding $$\text{pfdhps}$$ mutant haplotypes, $$\text{PfK13}$$ mutations, and $$\text{var}$$ gene expression patterns. Her research combines field studies with advanced genomic and computational approaches, often in large international collaborations addressing operational challenges in malaria control programs. Dr. Hansson actively collaborates with researchers across multiple African countries and international institutions, contributing to the global effort against malaria. Her work has been disseminated through numerous peer-reviewed publications in high-impact journals, with several appearing in 2024-2025. Her research has garnered attention in scientific communities, as evidenced by readership metrics and media mentions noted in the publication records.

Olivier LichtargeView profile

Professor

• Computational Biology
• Structural Biology
• Clinical Genomics
• +8 more

Olivier Lichtarge, M.D., Ph.D. is the Cullen Chair and Professor at Baylor College of Medicine , with appointments in Molecular and Human Genetics, Biochemistry & Molecular Biology, and Pharmacology. He directs the Computational and Integrative Biomedical Research Center and co-directs the Structural & Computational Biology program. Education: BS (McGill), PhD & MD (Stanford), Residency & Fellowships (UCSF) Research: Integrates evolutionary principles with machine learning for multi-scale data analysis in Protein functional site prediction Mutation impact quantification Network diffusion for disease mechanism discovery Cognitive computing applications Key Contributions: Developed Evolutionary Trace and Action Equation methods, network compression schemes for cross-species analysis, and text-mining approaches for automated hypothesis generation. His work spans Alzheimer's disease , autism , cancer , and malaria research. Scientific Recognition: Fellow, AAAS (2019) Michael E. DeBakey Excellence in Research Award (2015) Raymond & Beverley Sackler Fellowship (2005) Basil O’Connor Award (2001) Multiple AHA Fellowships & Awards

Cedrick AnsorgeView profile

Lecturer

• Turbulence Modeling
• Atmospheric Boundary Layer Dynamics
• Computational Fluid Dynamics
• +3 more

Cedrick Ansorge is a Lecturer at the Institute of Meteorology within the Department of Earth Sciences at Freie Universität Berlin . His research focuses on turbulence modeling , atmospheric boundary layer dynamics , and computational fluid dynamics , with expertise in large eddy simulation (LES) and direct numerical simulation (DNS) of turbulent flows. Teaching: Theoretical Meteorology I/II (Master's level) Email: c.ansorge@fu-berlin.de His work addresses scale separation , roughness effects , and stability analysis in Ekman and planetary boundary layers, with applications to urban canopy turbulence and Arctic stratocumulus clouds . Recent publications emphasize hairpin vortices , turbulence intermittency , and subgrid closures . He collaborates on projects involving MOSAiC and sea ice dynamics , and manages datasets on turbulent wall-bounded flows . Notable contributions include advancements in Monin-Obukhov similarity theory , LES validation , and pressure-strain redistribution in stratified flows. His team includes researchers Sally Issa and Shreyas Deshpande . Office hours: Wednesday 10:30-11:30 am, Room 139, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin.