جست‌وجوی استاد و پژوهشگر

• Applied Ecology
• Biodiversity
• Terrestrial Ecosystems
• +۸ مورد دیگر

Dr. Pat White is an Associate Professor at Edinburgh Napier University , affiliated with the School of Applied Sciences and Centre for Conservation and Restoration Science . He joined the university in 2013 as a Lecturer in Environmental Biology after completing his PhD at the University of Reading and postdoctoral work at the Game & Wildlife Conservation Trust (GWCT). Education: BSc in Ecological Sciences, University of Edinburgh (2001-2005) PhD in Agri-environmental Research, University of Reading (2005-2009) Pat's research focuses on applied ecology , conservation biology , and innovative survey methodologies . He has pioneered the use of robotics and autonomous systems in ecological monitoring, particularly for terrestrial biodiversity and bat surveys . His work addresses critical questions in habitat management , species conservation , and policy development . Recent publications highlight his leadership in evaluating forestry impacts on wader species and optimizing ecological survey protocols . He has secured multiple grants from Forestry Commission England and The AEB Charitable Trust for projects on curlew conservation , bat monitoring , and seabird disturbance . Awards: Fellow of the Chartered Institute of Ecology & Environmental Management (2023) Fellow of the Higher Education Academy Pat supervises PhD and Master’s students in projects spanning Nubian ibex conservation , otter monitoring , and black grouse studies . He also collaborates with institutions like University of Stirling and University of Aberdeen through the SUPER DTP program.

• Genomics
• Bioinformatics
• Molecular Biology
• +۷ مورد دیگر

Martin Smith is an Assistant Professor at the Université de Montréal in the Department of Biochemistry and Molecular Medicine . His research focuses on harmonizing genomic technologies and artificial intelligence for precision medicine and functional genome annotation , particularly using single-molecule sequencing and computational biology approaches. PhD in Genomics from University of Queensland (2012) Postdoctoral work at Garvan Institute of Medical Research Director of Genomic Technologies Program at Kinghorn Centre for Clinical Genomics (2017) His research initiatives include transcriptomic profiling using real-time nanopore sequencing , with projects funded by the NSERC , FRQS , Génome Québec , and the Cole Foundation . He supervises M.Sc. student Kristina Atanasova and collaborates with interdisciplinary teams in pediatric acute leukemia and COVID-19 research. Research Highlights : Clonal and transcriptional landscape of lymphocytes Real-time classification of leukemias Evolutionary RNA structure analysis AI-enhanced immunopeptidomics High-resolution RNA sequencing methods Scientific Awards : CSIRO Pre-Incubator Performance Award Palmer Foundation Innovation Award Megabase DNA Sequencing Prize Robert Cedergren Bioinformatics Poster Prize Martin Smith is recognized for developing bioinformatics tools like DotAligner and SLOW5 , and will direct the Ramaciotti Centre for Genomics at UNSW Sydney starting 2024. His work bridges biotechnology and high-performance computing to advance precision medicine applications for conditions including Leishmania and acute leukemia .

Dan Steinbergمشاهده پروفایل

عضو هیئت علمی

• Probabilistic Machine Learning
• Variational Inference
• Bayesian Deep Learning
• +۷ مورد دیگر

Dan Steinberg is a senior research scientist and team leader of the Decisions & Statistical Learning team at CSIRO Data61 in Canberra, Australia. His expertise lies in probabilistic machine learning, variational inference, Bayesian deep learning, causal inference, and their application to domains spanning synthetic biology, geospatial analytics, and algorithmic fairness. Education PhD in Computer Vision / Machine Learning (2013) – University of Sydney, Australian Centre for Field Robotics Bachelor of Engineering (Mechatronics, First-Class Honours) – University of Sydney (2008) Bachelor of Commerce (Finance) – University of Sydney (2008) Research Interests Steinberg’s core research agenda revolves around building scalable probabilistic models that can learn efficiently from limited or noisy data and provide principled uncertainty estimates. Key themes include: Variational Inference & Bayesian Deep Learning: developing lightweight yet powerful algorithms for approximate posterior inference in complex models (e.g., Aboleth, Revrand). Active Learning & Experimental Design: creating methods that decide which experiments or measurements will maximise information gain, with recent focus on in-silico protein engineering via Variational Search Distributions (VSD). Causal Inference: leveraging machine-learning tools to perform robust observational causal studies for evidence-based policy, including work on youth well-being and academic outcomes. Algorithmic Fairness: translating normative notions of equity into quantifiable objectives for regression-based decision systems. Large-scale Spatial Analytics: Landshark—an open-source TensorFlow toolkit for supervised learning on massive geospatial raster datasets. Notable Software & Tools Aboleth: A minimal-overhead TensorFlow framework for Bayesian deep learning. Landshark: Command-line tools for large-scale spatial inference. Revrand: Scalable Bayesian generalised linear models with non-conjugate likelihoods. libcluster: Extensible C++ library for hierarchical Bayesian clustering. Scientific Awards Oral Presentation Award – ICML 2025 Workshop on Scaling up Intervention Models (SIMS) Oral Presentation Award – NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty (BDU) Oral Presentation Award – NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning Spotlight Paper Award – NeurIPS 2014 (Extended and Unscented Gaussian Processes) Research Team & Collaborations As Team Leader – Decisions & Statistical Learning at CSIRO Data61, Steinberg directs a multi-disciplinary group that partners with government agencies (e.g., Jobs and Skills Australia, Australian Institute of Health and Welfare) and industry to deploy machine-learning solutions at scale. He has previously held roles as Principal Researcher at Gradient Institute (2019-2023), Senior Research Engineer at CSIRO Data61 (2016-2019), Researcher at NICTA (2013-2016), and Research Associate at the University of Sydney (2012-2013).

• Molecular Diagnostics
• Cancer Biology
• Quantitative PCR (qPCR)
• +۳ مورد دیگر

Professor Stephen Bustin is a distinguished academic at Anglia Ruskin University (ARU) within the Faculty of Health, Medicine and Social Care and School of Allied Health and Social Care. As a global authority on quantitative PCR (qPCR), his work bridges molecular medicine and clinical diagnostics, leading the Molecular Diagnostics Unit at ARU's Medical Technology Research Centre (MTRC). PhD in Molecular Genetics, Trinity College Dublin Editor-in-Chief, Biomolecular Detection and Quantification (Elsevier) His research spans molecular diagnostics, nucleic acid quantification, and proximity ligation assays. He pioneered the MIQE and digital MIQE guidelines, revolutionizing qPCR/dPCR standardization. His expertise extends to forensic applications, notably advising UK High Court and Washington DC on MMR vaccine-autism litigation. Recent publications emphasize qPCR optimization (2024), digital PCR standardization (2020), and primer design (2017). Key themes include diagnostic assay development, biomarker quantification, and scientific reproducibility. Member, Academy of Europe Fellow, Royal Society of Biology Editorial leadership in molecular science journals As an educator, he supervises research on molecular biomarkers for cancer therapy selection and aptamer-based infectious disease diagnostics. His work addresses critical challenges in biomedical research reliability and antibiotic resistance marker detection (e.g., MDR-1).

Paavo Kaimreمشاهده پروفایل

استاد

• Forestry Economics
• Forest Management
• Sustainable Forestry
• +۶ مورد دیگر

Paavo Kaimre is a Professor in the Chair of Forest and Land Management and Wood Processing Technologies at the Institute of Forestry and Engineering , Estonian University of Life Sciences. His work focuses on forestry economics , forest policy analysis , and sustainable forest management . Research themes include: economic evaluation of forest transformation strategies, climate-adapted forest policies, stakeholder engagement in forestry governance, and competitiveness of the Baltic forest sector. His studies often integrate decision support tools with policy frameworks and analyze long-term financial flows in forestry. He is affiliated with the Järvselja Experimental and Training Forest Centre , where he conducts economic simulations for forest management practices. His publications emphasize economic modeling, resource optimization, and the intersection of environmental policy and forestry economics.

Rob Millerمشاهده پروفایل

استاد

• Aerothermal Technology
• Gas Turbine Aerodynamics
• Transonic Compressors
• +۵ مورد دیگر

Prof. Rob Miller is the Chair in Aerothermal Technology and Director of the Whittle Laboratory at the University of Cambridge. He co-directs the Rolls-Royce Whittle University Technology Centre and contributes to policy via the UK Department for Transport’s Science Advisory Council and the FlyZero Design Advisory Group. His work bridges academic leadership with industrial innovation.

Nicole Lesley Gardnerمشاهده پروفایل

پژوهشگر

• Digital Transformation
• Urban Technology
• Computational Design
• +۵ مورد دیگر

Dr. Nicole Lesley Gardner is a Registered Architect (NSW ARB 7921) and Program Director of Computational Design at the School of Built Environment, UNSW Sydney . Her interdisciplinary research examines digital transformation in architecture, urban technology, and the ethics of smart cities. A Chief Investigator for the $9M Australian Research Council (ARC) Industrial Transformation Training Centre , she has led multiple Commonwealth-funded grants and co-authored over 40 peer-reviewed publications. Education: PhD in Architecture (UTS 2018), Bachelor of Architecture (Adelaide 2000), Bachelor of Design Studies (Adelaide 1998) Leadership: Chair of CAADRIA 2024 , co-editor of CAADRIA Post-Carbon proceedings (2022) Research Interests span computational design, smart city paradigms, and digital transformation in the AEC sector. Her work integrates ethical frameworks, gender dynamics, and material innovation in urban technology, with a focus on practice-based design research and industry collaboration. Scientific Awards : ADA Faculty Research Fellowship (2021-2022)

Yevhen Suprunenkoمشاهده پروفایل

پژوهشگر

• Epidemiology
• Mathematical Modeling
• Spatial Dynamics
• +۳ مورد دیگر

Dr. Yevhen Suprunenko is a Visiting Researcher in the Department of Plant Sciences at the University of Cambridge, actively contributing to the Epidemiology and Modelling research group. His work bridges theoretical physics and plant pathology to address critical challenges in agricultural sustainability and global food security through advanced spatial modeling of disease dynamics. He holds a PhD in Theoretical Physics (Condensed Matter) from Lancaster University, UK, which provides the mathematical foundation for his interdisciplinary research in plant disease epidemiology. This unique background enables innovative approaches to complex biological systems. Suprunenko's research centers on mathematical modeling of spatial epidemic spread in agricultural systems, focusing on intrinsic scales of epidemics, cropping patterns, and host landscape structure. He investigates how spatially explicit dynamics, stochasticity, and time-variability influence pest/pathogen distribution, epidemic severity, and optimal control strategies for threats like oak processionary moth and cassava brown streak disease. His work integrates computational methods with field data to develop practical solutions for crop protection. Analysis of his publication trajectory reveals a distinct evolution from chronotaxic systems in physics (2012-2017) to advanced spatial epidemiology in plant sciences (2019-2025). Recent work demonstrates increasing sophistication in modeling landscape-pathogen interactions, with strong emphasis on analytical approximations for invasion thresholds, individual-based model frameworks, and real-world applications in crop disease management. Key thematic areas include spatial scaling effects, infection rate optimization, and data refinement techniques for improved predictive accuracy. No scientific awards were explicitly documented in the provided materials. While specific student supervision details are absent from available records, Suprunenko's collaborative publications indicate active mentorship within the Epidemiology and Modelling group. Grant funding specifics are not disclosed, though his research aligns with major initiatives in agricultural security and environmental sustainability at Cambridge. As a core member of the Epidemiology and Modelling research group, Suprunenko collaborates on projects addressing plant-pathogen interactions within the Department of Plant Sciences. His work interfaces with Cambridge's broader environmental research ecosystem including the Centre for Global Wood Security and Global Food Security IRC, contributing to interdisciplinary efforts in ecosystem conservation and agricultural resilience.

• Digital Forensics
• Cybersecurity
• Incident Response
• +۵ مورد دیگر

Professor Vasilis Katos is a Professor in Cyber Security at Bournemouth University, specializing in digital forensics, incident response, and intellectual property security. With over 160 publications and extensive industry experience as an Information Security Consultant, he serves as an expert witness in criminal courts in both the UK and Greece. His research has significant impact in digital forensics for intellectual property infringement investigations through collaborations with the EU Intellectual Property Office (EUIPO) and UNICRI. Professor Katos holds a Diploma in Electrical Engineering from Democritus University of Thrace, an MBA from Keele University, and a PhD in Computer Science (network security and cryptography) from Aston University. He is a certified Computer Hacking Forensic Investigator (CHFI) with extensive practical experience in cybersecurity. His research primarily focuses on digital forensics and incident response, with recent emphasis on intellectual property infringement investigations, IoT security, blockchain applications, and traffic prediction systems. His work bridges academic research with practical security applications, particularly in intellectual property protection and smart city security frameworks. Professor Katos has coordinated significant research projects including Illegal IPTV in the European Union and IP Infringement on online trading platforms, funded by the EUIPO Observatory. His extensive publication record shows strong trends in digital forensics, cybersecurity for intellectual property protection, IoT security, and increasingly in smart city security frameworks. The research demonstrates a progression from foundational cybersecurity work to specialized applications in intellectual property protection and circular economy security models, with recent incorporation of AI and machine learning techniques for threat intelligence and traffic prediction. Certified Computer Hacking Forensic Investigator (CHFI) Editorial Board Member of Computers & Security Journal Professor Katos has successfully supervised multiple PhD students including Amalia Damianou (Digital Forensics in Smart, Circular Cities), Christos Iliou (Machine Learning Based Detection and Evasion Techniques for Advanced Web Bots), and Mohammed Al Qurashi (Intrusion Detection for IoT). He has secured significant research funding including the ECHO project (European network of Cybersecurity centres), IDEAL-CITIES, and multiple EUIPO-funded initiatives focusing on intellectual property protection. His work connects with the Centre for Intellectual Property Policy & Management (CIPPM) at Bournemouth University, where he contributes to research on intellectual property in emerging technologies. Professor Katos maintains active collaborations with international organizations including UNICRI and the EU Intellectual Property Office, focusing on practical applications of digital forensics in intellectual property protection.

• Supply Chain Analytics
• Logistics Management
• Operations Research
• +۵ مورد دیگر

Professor Ying Xie is a leading academic at Cranfield University's School of Management, holding the position of Professor of Supply Chain Analytics. Her work bridges engineering, data science, and business management across diverse sectors including maritime logistics, healthcare, and disaster response. Her educational background includes a BEng, MSc, and PhD in Management Science from Coventry University. Key research interests focus on supply chain digitalization and decarbonization , renewable energy supply chain configuration , and AI applications in operational resilience . Her work consistently integrates machine learning with real-world business challenges, particularly in port management and sustainability. Recent publications reveal strong trends in maritime decarbonization (25%), AI-driven supply chain optimization (30%), and healthcare systems resilience (20%). Her research increasingly addresses climate adaptation through circular economy models and clean energy transitions. Principal Fellow of the Higher Education Academy (HEA) Expert reviewer for UKRI MRC, British Academy, and EU Horizon Professor Xie has supervised numerous PhD completions and secured two dedicated scholarships for port management and digital twin research. Her £20m+ grant portfolio includes major projects with EPSRC (£7.6m Net Zero Aviation CDT), Innovate UK (£174k Sustainability Platform), and EU Horizon (£5m MEDiate disaster management). She actively collaborates with the Port of Dover, Ocado Technology, and NHS England. She leads the Co-Innovation Group in the UK National Clean Maritime Research Hub and directs academic activities for the EPSRC Centre for Doctoral Training in Net Zero Aviation, shaping national maritime strategy through the Department for Transport's 'UK Ports the Future' report.

Eneko Agirreمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Language Technology
• +۷ مورد دیگر

Eneko Agirre is a Full Professor at the Faculty of Computer Science of the University of the Basque Country UPV/EHU, where he serves as the director of the HiTZ Centre on Language Technology. He is an active member of the Ixa Research Group and has established himself as a leading figure in Natural Language Processing, particularly in multilingual and low-resource language settings. His work bridges theoretical advances with practical applications for language technology. Agirre received his PhD from the University of the Basque Country in 1999 with a thesis on conceptual relationships and ontologies, supervised by Dr. Kepa Sarasola Gabiola and Dr. Arantza Díaz de Ilarraza Sánchez. His academic journey has been marked by significant contributions to computational linguistics and language technology. His research primarily focuses on Natural Language Processing challenges, with special emphasis on Word Sense Disambiguation, cross-lingual transfer learning, dialogue systems, and Large Language Models for low-resource languages. He has pioneered work on Basque language technology and has consistently addressed the challenges of multilingual AI systems, particularly examining how language models perform across different linguistic contexts and cultural settings. Analysis of his recent publications reveals a strong trajectory toward advancing Large Language Models for low-resource languages, with particular attention to Basque. His work spans vision-language models, information extraction techniques, and rigorous evaluation methodologies for NLP systems. A recurring theme is the exploration of how language models handle low-resource languages compared to high-resource ones, with groundbreaking findings about cultural knowledge transfer between languages. Fellow of the ACL (2021), one of only 74 research leaders worldwide National Research Prize on Informatics (2021) Best resource paper award at ACL 2024 Honourable mention paper award (top 1%) at EMNLP (2020) Outstanding Paper award (top 2%) at COLING (2020) Recipient of three Google Faculty Research Awards (2017, 2018, 2019) Agirre has supervised over 25 PhD students, many of whom have received prestigious awards including the EurAI Artificial Intelligence PhD Dissertation Award. His research has been supported by numerous European projects including LIHLITH (2018-2020) on lifelong learning for dialogue systems, and he has served as principal investigator for multiple CHIST-ERA and FP7 projects. His work with Google includes collaborative projects on entity dictionaries and conversational question answering systems. As director of the HiTZ Centre on Language Technology and member of the Ixa Research Group, Agirre leads a vibrant team focused on advancing language technology for Basque and other under-resourced languages. The center has developed significant resources including Latxa, an open language model for Basque, and has established itself as a hub for multilingual NLP research. His group actively collaborates with international institutions including Stanford, NYU, and various European universities, fostering a global network for language technology research.

Bogdan Romanمشاهده پروفایل

پژوهشگر ارشد

• Compressed Sensing
• Signal Processing
• Sampling Theory
• +۵ مورد دیگر

Dr. Bogdan Roman is a Senior Researcher in the Centre for Mathematical Imaging in Healthcare at the Pure Mathematics department and a Visiting Research Fellow at the Computer Science and Technology department, both at the University of Cambridge. He chairs the Computer Science Admissions Test (CSAT) and coordinates the Cambridge Imaging Clinic. Research Areas : Compressed Sensing, Signal Processing, Sampling Theory, Inverse Problems, Computational Mathematics, Medical Imaging, Wireless Networks His work on compressed sensing has driven advancements in MRI resolution and sub-50nm Scanning Helium Microscopy (SHeM), funded by EPSRC. Collaborations include Siemens (MRI validation), Cambridge Radiology, and industrial partners. He has contributed to breaking the coherence barrier in imaging and developed scalable wireless access control systems. Scientific Awards : Rosetrees Interdisciplinary Prize 2016 nomination, 2nd Place at Microsoft Research Workshop 2007 He lectures Part IA Numerical Analysis and co-lectures Part III courses on Sampling and Compressed Sensing. His tools include a high-speed C++ MEX Hadamard transform and MacOH stress-testing software. His publications span mathematics, physics, and computer science disciplines.

• Nanomaterials
• Nanotechnology
• Renewable Energy
• +۵ مورد دیگر

Dr. Indrat Aria is a Senior Lecturer in Functional Nanomaterials at Cranfield University's Surface Engineering and Precision Centre within the Faculty of Engineering and Applied Sciences. With expertise spanning nanomaterials, nanotechnology, renewable energy, smart materials, and surface engineering, Dr. Aria leads research focused on developing novel materials for sustainability applications. His educational background includes a PhD in Aeronautics from California Institute of Technology (2013), where he received the prestigious William F. Ballhaus Prize for his outstanding doctoral dissertation, an MSc from Caltech's Department of Aeronautics (2008), and a BSc with Honours (cum laude) from Bandung Institute of Technology, Indonesia (2006). Prior to joining Cranfield, he was a Post-Doctoral Research Associate at Cambridge University and a College Research Associate at Clare College (2013-2017). Dr. Aria's research interests center on the synthesis of hierarchical and 3D assemblies of low-dimensional nanomaterials, integration of nano-bulk materials, engineering of surfaces and interfaces, and design of functional ultrathin films. His work spans applications in solar energy conversion (concentrating solar power, photovoltaics, photocatalysis), electrochemical processes (batteries, supercapacitors, hydrogen electrolysis), soft matter (biopolymers, hydrogels), and REACH compliant materials. His recent publications demonstrate a strong focus on combinatorial sputtering techniques, molten salt corrosion studies, and advanced hydrogel characterization for various applications. Among his notable achievements are the Fulbright fellowship (2007-2012), the Green Talent Award from the German Federal Ministry of Education and Research (2014), and the 2024 Gold Award for Excellence in Hydrogen Research and Innovation from HyDEX for pioneering research in sustainable catalysts for green hydrogen production. Dr. Aria currently leads multiple research projects including H2020 MSCA-RISE FRIENDS2, IMAGE Photoluminescent Coatings, and several Innovate UK projects focused on flexible electrochromic windows, luminescent downshifting, novel electrocatalysts for green hydrogen electrolysis, and lithium-free batteries. His research group collaborates with industry partners such as Photocentric, Lambda Energy, BAE Systems, Hardide, and Thin Metal Films. He actively supervises PhD students and currently offers research opportunities in sustainable active materials for next-generation lithium-free batteries, novel electrocatalysts for green hydrogen by seawater electrolysis, and solid polymer electrolytes for batteries and smart windows.

• Substance use prevention
• Mental health promotion
• Healthy lifestyles and chronic disease prevention
• +۴ مورد دیگر

Professor Nicola Newton is the Director of Prevention Research at the Matilda Centre for Research in Mental Health and Substance Use, University of Sydney. She leads internationally recognized programs in substance use and mental health prevention, with a focus on school-based and eHealth interventions. Her roles include co-Director of the NHMRC Centre for Research Excellence - PREMISE and Vice President of the Alliance for the Prevention of Mental Disorders. She holds a Bachelor of Psychology (Hons Class 1) from Macquarie University and a PhD from the National Drug and Alcohol Research Centre (UNSW). After postdoctoral work at King’s College London and 7 years at NDARC, she joined the Matilda Centre in 2018. Research Interests: Substance use prevention, mental health promotion, healthy lifestyles, adolescent health, personality-targeted interventions, eHealth technologies, translation and implementation science. Methodological Expertise: Cluster randomized controlled trials, school-based trials, intervention development, online clinical trials. Her recent publications focus on eHealth interventions for vaping, mental health disparities among gender/sexuality diverse youth, trauma-informed prevention, and socioeconomic factors in substance use. She has received 34 awards, including the 2024 Australian Rotary Health Mental Health Impact Award, and serves as Assistant Editor for Drug & Alcohol Review and Addiction . Grants: >$51 million as Chief Investigator, including funding from NHMRC, MRFF, Movember Foundation, and Australian Government Department of Health. She advises state and federal health/education departments on substance use prevention.

Steven J Jonesمشاهده پروفایل

استاد

• Bioinformatics
• Gene Expression
• Gene Regulation
• +۷ مورد دیگر

Dr. Steven J. Jones is a Professor in the Department of Medical Genetics at the University of British Columbia (UBC) and Associate Director/Head of Bioinformatics at the Genome Sciences Centre, BC Cancer Research Centre. He serves as Director of the CIHR/MSFHR Bioinformatics Training Program and the UBC Bioinformatics Graduate Program, with associate memberships at the Peter Wall Institute for Advanced Studies and Michael Smith Laboratories. Dr. Jones' research focuses on computational genomics and cancer bioinformatics , analyzing mutational landscapes and epigenetic targets in oncology. His work includes next-generation sequencing , structural variant detection , and long-read sequencing applications for resolving complex genomic architectures. He has extensive experience with transcriptome analysis , gene regulation , and comparative genomics across diverse organisms including C. elegans , conifers, and human pathogens. His 15 most recent publications highlight expertise in long-read sequencing for cancer genomics , imprinting disorders , and structural variation analysis. Key contributions include developing the Circos visualization tool for comparative genomics and pioneering bioinformatics approaches for epigenetic modifier discovery in oncology. Scientific Awards : Spencer Award for IT innovation (2005) 2007 Medical Genetics teaching award (UBC) 2011 Fellow of the Royal Society of Canada 2012 UBC Killam teaching prize 2014 Distinguished Achievement Award (UBC Faculty of Medicine) 2014 Fellow of the Canadian Academy of Health Sciences Clarivate Analytics Highly Cited Researcher (2016, 2018) Dr. Jones actively advises graduate students and serves as a data analysis center for the Canadian Epigenetics, Environment and Health Research Consortium (CEEHRC). He co-founded Ifowonco Bioinformatics Inc. and Alamya Health, PBC, and consults for Apotheca Systems Inc.