Find Academic Supervisors

Gaël Richard is a Professor at Télécom Paris, part of the Institut polytechnique de Paris. He leads the Signal, Statistics and Learning (S²A) research group within the LTCI laboratory and is the Executive Director of Hi! Paris, a hub for AI and data science. His primary research focuses on audio signal processing, including speech synthesis, source separation, and non-negative matrix factorization techniques. He has contributed significantly to applications in automotive and music industries, and his work has been recognized with the 2020 IMT-Académie des Sciences Grand Prix and a 2022 ERC Advanced Grant for the HI-Audio project. Education and Career: Gaël Richard transitioned from classical music to applied mathematics, earning a PhD in speech synthesis. His academic journey blends technical expertise with creative problem-solving, leading to impactful contributions in machine learning and audio technologies. Research Interests: His work spans machine learning for audio signals, including speech synthesis, sound separation, and music information retrieval. He emphasizes reproducibility, publishing tools like YAAFE and databases widely used in the field. Key Projects: The HI-Audio project explores AI-driven audio processing, while his ERC grant supports advancements in hybrid deep learning for audio. He co-supervises PhD students in areas like intelligibility in noisy environments and EEG-based source separation. Awards and Recognition: In addition to major grants and the IMT-Académie des Sciences prize, his work on source separation and audio indexing has earned international acclaim. He actively contributes to academic conferences and serves on editorial boards. Labs and Teams: He leads the S²A team at LTCI, fostering collaborations between academia and industry partners like Thales and Deezer. His research bridges theoretical advancements with practical applications in audio technology.

• Audio Signal Processing
• Speech Synthesis
• Source Separation
• +5 more

Jaya Prakash Golla is an Associate Research Scientist in Endocrinology at Yale School of Medicine, affiliated with the Diabetes Research Center. His research focuses on lipid metabolism, alcohol-induced pathologies, and cancer mechanisms. He holds a postdoctoral fellowship from the National Cancer Institute, NIH (2016). Research interests include investigating lipidomics in liver disease, alcohol-induced colorectal carcinogenesis, DNA damage responses, and metabolic disorders. His work spans systems biology approaches, mouse models, and omics profiling to understand disease mechanisms. Key publications explore lysophosphatidic acid’s role in inflammation, early-stage alcohol liver damage, and colorectal cancer pathways. He collaborates with experts in metabolomics, oncology, and toxicology. His studies often integrate multi-omics data and genetic engineering to uncover therapeutic targets in metabolic and cancer-related conditions.

• Lipidomics
• Liver Disease
• Cancer Biology
• +5 more

John Allen is a Professor in the Department of Psychology at the University of Arizona. His research focuses on interdisciplinary areas spanning neuroscience, psychology, and medical technology. He leads a lab dedicated to advancing understanding of emotional awareness, neuromodulation techniques, and their clinical applications. Key projects include investigating transcranial focused ultrasound for depression treatment, studying biomarkers in lung transplantation, and developing wearable neurotechnology devices. Dr. Allen's work integrates EEG, imaging technology, and genetic analysis to address complex health challenges. His contributions span peer-reviewed articles on emotional regulation, chronic disease biomarkers, and innovative medical devices. Collaborations bridge psychology, engineering, and clinical medicine to advance both theoretical and applied research. Research Interests : Dr. Allen's primary areas include neuromodulation (e.g., transcranial ultrasound), emotional awareness mechanisms, and translational medical research in transplantation and chronic disease. He explores how brain stimulation impacts mental health outcomes and develops tools for improving healthcare delivery through digital platforms and wearable devices. Key Article Trends : Recent work emphasizes non-invasive brain stimulation techniques, lung transplant biomarkers (cell-free DNA analysis), and pediatric anesthesia neurophysiology. His transdisciplinary approach is evident in publications blending EEG studies, medical imaging innovations, and molecular biology in cancer research. Grants & Advising : While specific grant details are not listed, his prolific publication record suggests active research funding. He advises no listed students but collaborates widely with interdisciplinary teams. His lab website provides further details on current projects and collaborations. Labs/Teams : Dr. Allen directs a research lab focusing on neuromodulation and translational medicine, leveraging advanced technologies like nanopore sequencing and non-negative matrix factorization for biomarker discovery.

• Psychology
• Neuroscience
• Emotional Awareness
• +3 more

Yunus Yukselten is an Associate Research Scientist at the Yale School of Medicine’s Department of Internal Medicine. He earned his PhD in Medical Biology from Ankara University School of Medicine (2018). His research focuses on molecular mechanisms underlying HIV pathogenesis, cancer biology (particularly glioblastoma and multiple myeloma), and male infertility. Key areas include CCR5 targeting for HIV treatment, DNA repair pathways in cancer, and Sertoli cell dysfunction in azoospermia. He has explored synergistic HIV therapies, roles of JAK/STAT and WNT signaling, and biomarkers for infertility and tumor resistance. Notably, he was pre-selected for an award for his bioinformatic analysis linking NRF2 variants to smoking-related male infertility. Yukselten’s work combines experimental and computational approaches, addressing translational challenges in virology, oncology, and reproductive medicine. Recent studies highlight drug combination strategies (e.g., Temsavir/entry inhibitors), metabolic interactions in cancer stem cells, and hormonal influences on Sertoli cell function. His interdisciplinary projects integrate cell culture models, genomic analysis, and clinical data to advance therapeutic targets and diagnostic markers. Education: PhD, Medical Biology, Ankara University School of Medicine (2018) Awards: Pre-selected award for bioinformatics study on NRF2 variants and infertility (2021) Key Themes: HIV entry mechanisms, cancer drug resistance, Sertoli cell biology, gene-environment interactions

• Molecular Biology
• Oncology
• HIV Treatment
• +7 more

Dr. Eddy Kizana is a Senior Lecturer in Medicine at the University of Sydney's Westmead Clinical School, specializing in Cardiology and Cardiovascular Research. His affiliations include the Westmead Clinical School and collaborations across multiple disciplines within the University. His research focuses on cardiovascular diseases, gene therapy applications for arrhythmias, and molecular mechanisms underlying cardiac dysfunction. Key themes include Obesity, Diabetes, and Healthy Ageing, with a strong emphasis on translational research. Research Interests: Cardiac arrhythmia mechanisms and treatments Gene therapy for cardiac repair Cardiac fibrosis and remodelling Therapeutic delivery systems for heart disease His recent publications highlight advancements in gene vector engineering, arrhythmia substrate characterization, and translational models for cardiac regeneration. Current research students are investigating novel gene therapies for cardiac arrhythmias and catheter ablation strategies. Grants and collaborations include projects on atrial cardiomyopathy phenotyping ( NSW Health ), bioengineered antiarrhythmic models ( MRFF ), and cardiac gene therapy vectors ( NHMRC ). His work bridges basic science with clinical applications, addressing gaps in cardiac disease management.

• Cardiovascular Diseases
• Molecular Biology
• Physiology
• +6 more

Dr. Kevin Law is a Postdoctoral Research Fellow in Stem Cell Biology at the School of Medical Sciences, University of Sydney, within the Faculty of Medicine and Health. His research focuses on human induced pluripotent stem cells (iPSCs), neural transplantation for neurological conditions, and stem cell modeling of Parkinson's disease and breathing disorders. He is affiliated with the Charles Perkins Centre, the Australasian Society for Stem Cell Research (ASSCR), and the Centre for Drug Discovery Initiative (DDI). Key research projects include developing neural transplantation therapies, creating respiratory neuron models for central sleep apnea, and integrating 3D bioprinted tissues with high-throughput imaging for Parkinson's drug discovery. His work combines animal models, cellular/molecular techniques, and translational research approaches. Scientific contributions include advancements in hydrogel-based drug delivery systems for neural graft safety, oxygen reservoir technologies for stem cell integration, and biomimetic hydrogels for fetal tissue graft optimization. He has received the 2023 Professional Development Award from the Charles Perkins Centre. Current research students include Laura Ancelotti (A better cell therapy for Parkinson's disease) and Alex Johnson (Development of advanced stem cell models of dementia). Dr. Law's research is supported by grants such as the Neurodrug Funding Scheme (2024) and the Charles Perkins Centre Seed Funding (2024).

• Stem Cell Biology
• Parkinson's Disease
• Neural Transplantation
• +3 more

Ali Tavassoli is a Professor of Chemical Biology at the University of Southampton's School of Chemistry and serves as Chief Scientific Officer at Curve Therapeutics, a VC-backed spin-out from his lab. He leads an interdisciplinary team focused on developing chemical tools to elucidate protein-protein interactions and advance therapeutic discovery. His research bridges synthetic chemistry and biology, with applications in cancer and metabolic disease. Tavassoli holds RSC Fellow status and has led roles in the Royal Society of Chemistry's Chemical Biology divisions. Education & Career: BSc Chemistry, University of Bristol PhD in Synthetic Organic Chemistry, University of Reading Postdoctoral Fellowships: University of Sussex and Penn State University Joined University of Southampton as Lecturer in 2006, promoted to Reader (2011) and Professor (2015) Research Interests: Chemical biology approaches to target protein interactions, hypoxia signaling in cancer, cyclic peptide therapeutics, and synthetic organic chemistry. His work combines molecular design with biological validation to address unmet clinical needs. Key Projects: MRC-funded studies on hypoxia-driven drug discovery EPSRC project on semi-biotic immune systems Cancer Research UK grants for HIF pathway inhibitors Awards: European Young Chemist Medal (2008) RSC Protein & Peptide Science Award (2017) European Peptide Society's Leonidas Zervas Award (2020) Professional Activities: Editorial board member for RSC Chemical Biology , former Chair of RSC Chemical Biology divisions, and inventor of SICLOPPS screening technology. His lab actively collaborates with industry and academia to translate discoveries into therapies.

• Chemical Biology
• Drug Discovery
• Protein-Protein Interactions
• +3 more

Henk Kiers is a Professor in the Department of Psychometrics and Statistics at the University of Groningen's Faculty of Behavioural and Social Sciences. His work contributes to UN Sustainable Development Goals through advanced statistical methodologies. He holds a prominent academic role with extensive contributions to multivariate statistics and computational methods. Research focuses on three-way component analysis, principal component analysis, and matrix mathematics applications. Notable contributions include developing R packages for statistical analysis and advancing techniques like Simplimax rotation. His work bridges theoretical statistics with practical applications in fields like metabolomics and chemometrics. Awards: Psychometrika Reviewer Award (2017). Supervision: Advised 10 PhD students, including work on replication success metrics and Bayesian statistics. Collaborations: Visiting researcher at institutions such as Sapienza University of Rome (2016) and Rovira i Virgili University (2018). Labs/Teams: Involved in interdisciplinary projects integrating statistical methods with behavioral and health sciences through datasets shared on platforms like Figshare.

• Psychometrics
• Statistical Analysis
• Multivariate Statistics
• +3 more

Dr Chris Bouchard is a Senior Lecturer in Physics & Astronomy at the University of Glasgow's School of Physics & Astronomy. His research focuses on applying lattice quantum chromodynamics (QCD) to study phenomena in particle and nuclear physics, including rare meson decays, neutral meson mixing, and nucleon structure. He has contributed to precision calculations of form factors critical for testing the Standard Model and probing new physics. Key research areas include: Particle Physics: Rare B-meson decays (e.g., B→Kℓℓ), neutral meson mixing, and form factors for semileptonic processes. Nuclear Physics: Determination of nucleon matrix elements such as the axial coupling constant (gA), with applications to dark matter searches and neutrino physics. Lattice QCD Techniques: Development of methods for excited-state analysis, gradient-flowed actions, and Feynman-Hellmann theorem applications. Recent work highlights: 2023: Published form factors for B→K and D→K decays, enabling precise Standard Model predictions. 2022: Advanced lattice calculations of nucleon axial coupling to 1% precision. Collaborations include the Fermilab Lattice and MILC Collaborations. His research has been supported by grants from the UK’s Science and Technology Facilities Council (STFC).

• Particle Physics
• Nuclear Physics
• Lattice Quantum Chromodynamics
• +5 more

Arne Rietsch, PhD is an Associate Professor in the Department of Molecular Biology and Microbiology at Case Western Reserve University School of Medicine. He also serves as the Associate Director of the Medical Scientist Training Program at the School of Medicine. His research focuses on bacterial pathogenesis, particularly studying how Pseudomonas aeruginosa causes disease through its type III secretion system. Dr. Rietsch's laboratory investigates three main aspects of the type III secretion system (T3SS): translocator protein secretion, the control mechanisms that prevent effector secretion prior to cell contact (involving PcrG/PcrV and the PopN complex), and the mechanism by which cell contact triggers effector secretion. His work has revealed that translocation of effector proteins can be feedback inhibited by the type III effector ExoS. His research spans bacterial pathogenesis, molecular microbiology, host-pathogen interactions, and bacterial secretion systems, with important implications for treating infections caused by this opportunistic pathogen. Dr. Rietsch's recent publications (2022-2025) demonstrate continued research productivity across multiple areas including bacterial pathogenesis, immunology, and regenerative medicine. His work shows consistent focus on Pseudomonas aeruginosa mechanisms while expanding into related fields like STING pathway regulation and liver fibrosis. Small molecule induced STING degradation facilitated by the HECT ligase HERC4 (2024) The transcription factor ZNF469 regulates collagen production in liver fibrosis (2025) A biofilm-tropic Pseudomonas aeruginosa bacteriophage uses the exopolysaccharide Psl as receptor (2025) NLRP3 selectively drives IL-1β secretion by Pseudomonas aeruginosa infected neutrophils and regulates corneal disease severity (2023) PopB-PcrV Interactions Are Essential for Pore Formation in the Pseudomonas aeruginosa Type III Secretion System Translocon (2022) As Associate Director of the Medical Scientist Training Program, Dr. Rietsch plays a significant role in training the next generation of physician-scientists. His laboratory provides research opportunities for graduate students and postdoctoral fellows interested in bacterial pathogenesis and molecular microbiology, with collaborations particularly strong with Dr. Eric Pearlman on ocular infections. The Rietsch lab combines genetic, biochemical, and cell biological approaches to understand how P. aeruginosa interacts with host cells at the molecular level. Their work addresses important questions in infectious disease research with relevance to public health, particularly for immunocompromised patients, burn victims, and those with cystic fibrosis.

• Bacterial Pathogenesis
• Type III Secretion System
• Pseudomonas aeruginosa
• +5 more

Associate Professor Mataleena Parikka leads research on tuberculosis (TB) treatment and mycobacterial biofilms at Tampere University. Her work focuses on developing shorter, more effective therapies by studying drug tolerance mechanisms and biofilm formation in Mycobacterium tuberculosis. Using zebrafish as a model organism, her team investigates how bacteria evade immune responses and antibiotics. Key innovations include screening methods for anti-biofilm compounds and identification of novel drug candidates. Parikka’s research group has filed four invention disclosures in 2023, including two drug candidates and screening methodologies. Collaborations with international partners in Australia, Germany, and Italy advance preclinical drug testing. A dentistry background informs her biofilm research, emphasizing clinical translation. Despite commercialization efforts, her team prioritizes non-profit drug development to maximize global accessibility. Education: Dental degree with research specialization in biofilm-induced infections. Ongoing work builds on foundational training in oral microbiology and clinical practice. Research Interests: Combining basic and translational research to address TB’s global burden. Key areas include: Mycobacterial biofilm biology and antibiotic tolerance mechanisms Zebrafish models for TB pathogenesis and drug screening Development of novel antimycobacterial compounds β-carbonic anhydrase inhibitors as drug targets Preclinical drug delivery systems for targeted therapy Article Trends: Recent publications emphasize proteomic analysis of biofilms, genetic screens in Mycobacterium marinum, and translational studies leveraging zebrafish models. Research bridges molecular mechanisms with clinical applications, such as evaluating drug toxicity and efficacy in vivo. Awards: 2023 Tampere University Inventor of the Year Award Advising & Grants: Oversees multidisciplinary consortium projects funded through international collaborations. Focuses on methodological development for high-throughput screening and preclinical testing platforms. Labs/Teams: Heads a research group within Tampere University’s microbiology and immunology programs. Collaborates with Prof. Jari Yli-Kauhaluoma’s chemical biology team and international partners in drug development initiatives.

• Tuberculosis Research
• Mycobacterial Infections
• Antibiotic Tolerance
• +5 more

Nataliia Adukova is a researcher affiliated with the Department of Mathematics at Aberystwyth University. Her work focuses on advanced topics in matrix factorization and algorithmic development, particularly involving polynomial matrices and stability criteria. She collaborates with researchers like Vladimir M. Adukov and Gennady Mishuris, contributing to interdisciplinary fields such as mathematical physics and engineering sciences. Her research interests emphasize computational methods for matrix analysis, with applications in both theoretical and applied mathematics. Adukova has published in prestigious journals like Proceedings of the Royal Society A and presented at academic workshops on mechanics and solids engineering. Her recent studies explore factorization algorithms and their implementation through tools like the ExactMPF package.

• Factorization
• Polynomial Matrices
• Matrix Analysis
• +3 more

Robert T.W. Martin is Associate Professor in the Department of Mathematics at the University of Manitoba, specializing in functional analysis and operator theory. His current research extends classical Hardy space theory to non-commutative multi-variable settings. His PhD from the University of Waterloo focused on bandlimited functions and self-adjoint operators. Research explores connections between multivariate Hardy spaces, non-commutative function theory, and operator algebras, developing new frameworks for multi-dimensional operator theory. Research develops non-commutative analogues of classical complex analysis concepts including Lebesgue decomposition, inner-outer factorization, and Clark measures. Recent publications establish fundamental results in non-commutative rational function theory and operator realizations. Publications demonstrate progression from classical operator theory to innovative non-commutative frameworks. Recent work on operator factorizations and Fock space applications has expanded mathematical foundations for multi-variable systems. He collaborates with colleagues internationally on operator algebras and free analysis. Research presentations at major conferences advance understanding of Hardy spaces in non-commutative settings.

• Functional Analysis
• Operator Theory
• Multivariate Hardy Spaces
• +3 more

Jie Gong, MD, PhD, is an Associate Research Scientist in the Department of Ophthalmology and Visual Science at Yale School of Medicine. His research focuses on developing stem cell-based therapies for age-related macular degeneration (AMD), particularly investigating retinal pigment epithelium (RPE) and photoreceptor regeneration using induced pluripotent stem cells (iPSCs) and extracellular matrix (ECM) interactions. He holds a PhD in Retinal Diseases from Pierre et Marie Curie University (2006) and an MD from Shanghai Jiao Tong University (1997). His work emphasizes ECM-guided stem cell differentiation, disease modeling via patient-derived fibroblasts, and high-throughput screening for AMD therapies. Key projects include culturing RPE cells on aged Bruch’s membrane models and understanding nitration effects on RPE function. Collaborations with colleagues like Dr. Lawrence Rizzolo and Dr. Mark Fields highlight interdisciplinary efforts in AMD pathogenesis and regenerative strategies. Publications span 2008-2021, emphasizing cellular metabolism, ECM modifications, and iPSC-derived RPE phenotypes. His research bridges basic science with translational medicine, aiming to restore vision through RPE transplantation and ECM-based scaffolds.

• Age-Related Macular Degeneration
• Stem Cell Biology
• Retinal Diseases
• +3 more

Dr. Alireza Moayedikia is a Lecturer in Information Systems at the School of Business, Law and Entrepreneurship, Swinburne University of Technology. His research focuses on Artificial Intelligence, Machine Learning, and Data Science, with expertise in social network analysis, natural language processing, and back-end software development. He has over ten years of professional experience in AI and ML, emphasizing data preparation for machine learning tasks. Research Interests: Dr. Moayedikia’s work spans optimization algorithms for crowdsourcing, microtask management, and feature selection. His recent contributions include advancements in matrix factorization, dynamic payment systems for microtask platforms, and community detection in attributed networks. His methodologies often integrate swarm intelligence (e.g., bee colony optimization) and probabilistic models. Publications: His 19 publications reflect a strong focus on AI-driven solutions, including contributions to data-driven healthcare systems and green logistics. His articles address challenges in sparse data handling, worker reliability estimation, and multi-criteria decision-making frameworks. Grants: He contributed to the SCOPE 3 research contract (2020–2021), developing prototypes for tracking Green House Gas emissions in last-mile delivery systems. Labs/Teams: Collaborates within interdisciplinary teams at Swinburne, focusing on applied AI and sustainable logistics solutions.

• Artificial Intelligence
• Machine Learning
• Data Science
• +7 more