Find Academic Supervisors

• Neural dynamics of memory circuits
• Memory-guided behavior
• In vivo multichannel recordings
• +5 more

Professor David Dupret is a Professor of Neuroscience and MRC Investigator at the University of Oxford, where he also serves as a Tutorial Fellow in Biomedical Sciences at St Edmund Hall. His work takes place within the MRC Brain Network Dynamics Unit, part of the Nuffield Department of Clinical Neurosciences, and he is affiliated with the Department of Physiology, Anatomy and Genetics. David completed his Ph.D. in Neuroscience at the Institute François Magendie (INSERM, University of Bordeaux, France), receiving the French Neuroscience Association's 2007 Ph.D. Year Prize. He joined the MRC Anatomical Neuropharmacology Unit in 2007 as a Visiting Fellow, funded by the Institute of France and the International Brain Research Organisation. In 2009, he became an MRC postdoctoral scientist and Junior Research Fellow at St Edmund Hall, progressing to MRC Programme Leader Track scientist in 2011 and tenured MRC Programme Leader in 2014. Professor Dupret's research focuses on the circuit-level mechanisms of memory-guided behavior, with particular emphasis on neural dynamics of memory circuits during active waking behavior and sleep. His laboratory employs in vivo multichannel recordings and optogenetic manipulation of neuronal ensembles to investigate how hippocampal networks organize memory processes. His work has revealed fundamental insights into how memory circuits operate during both waking behavior and sleep states, particularly regarding hippocampal ripple activity, dentate spikes, and offline reactivation processes. Analysis of Professor Dupret's recent publications reveals a consistent focus on hippocampal network dynamics and memory processes. His work spans from basic neural circuit mechanisms to applications in neurodegenerative conditions like Alzheimer's disease. A notable trend is the integration of computational approaches with experimental neuroscience to understand how neural assemblies encode and retrieve memories. His team has made significant contributions to understanding how dentate spikes support memory flexibility and how hippocampal ripple diversity organizes neuronal reactivation during offline states. French Neuroscience Association's 2007 Ph.D. Year Prize Foundation Louis D. Research Fellowship (2007) International Brain Research Organisation Fellowship (2008) FENS-Kavli Network of Excellence Scholar (2016) Boehringer Ingelheim-FENS Research Award (2018) Elected to membership of Academia Europaea (2024) Professor Dupret has secured substantial research funding through his MRC Programme Leader position and has mentored numerous researchers who appear as co-authors on his publications. His laboratory, the Dupret Group, operates within the MRC Brain Network Dynamics Unit, collaborating extensively with other research groups including the Sharott Group, Magill Group, and Denison Group. Current research directions include investigating how memory circuits maintain flexibility while resisting extinction, exploring the relationship between neural coactivity patterns and memory organization, and developing computational models of hippocampal function. His team is actively pursuing future work on the mechanisms underlying memory persistence and the neural basis of flexible memory recall.

Xiaowen ZhangView profile

Professor

• Cryptography
• Information Security
• Cybersecurity
• +5 more

Xiaowen Zhang is a Professor of Computer Science at the College of Staten Island (CSI), City University of New York (CUNY), and a Doctoral Faculty Member at the CUNY Graduate Center. His academic work bridges theoretical and applied research in cybersecurity, information systems, and network technologies. Dr. Zhang holds a Ph.D. in Computer Science from the CUNY Graduate Center (2007) and a Ph.D. in Electrical Engineering from Northern Jiaotong University (1999), along with an M.A. from CUNY Queens College, an M.S. from Northern Jiaotong University, and a B.S. from Shanxi University. His research focuses on Cryptography, Information Security, Cybersecurity, Secure Biometrics, RFID Security & Privacy, Information Retrieval, and Wireless Sensor Networks . He explores both foundational cryptographic methods—such as secret sharing schemes and hash functions—and their practical implementations in secure systems, including RFID authentication protocols and data visualization platforms for sensor networks. The analysis of his recent publications reveals a consistent focus on security mechanisms in distributed and wireless environments . His work frequently combines cryptographic theory with system-level implementations, particularly in RFID and sensor networks. There is a strong trend toward privacy-preserving protocols, efficient data retrieval, and secure information sharing , often leveraging mathematical structures like Latin squares and Bloom filters. Dr. Zhang has been actively involved in mentoring students, as evidenced by numerous co-authored publications with graduate and undergraduate researchers. His contributions span journals such as Security and Communication Networks , Journal of Applied Security Research , and International Journal of Security and Networks , as well as major conferences including IEEE LISAT, ACM CODASPY, and IEEE Sarnoff Symposium.

Jerzy GorzelikView profile

Associate Professor

• Art History
• Central European Art
• National Identity
• +12 more

Jerzy Gorzelik is an Associate Professor at the Institute of Arts Studies within the Faculty of Humanities at the University of Silesia in Katowice. He holds a doctorate from the University of Wrocław and graduated from Jagiellonian University. His academic work centers on art history with a focus on Central European art, particularly in Upper Silesia from the 16th to the 20th centuries. His research explores the intersections of art, national and confessional identities, cultural heritage, and collective memory. He investigates how artistic expressions have been used in the discursive construction of imagined communities, especially in contested borderlands like Upper Silesia. His interests include wooden and industrial architecture, sacred art, museum practices, and the role of art in nationalist narratives. The recent publications highlight a consistent focus on heritage discourse, national identity formation, and the symbolic use of architecture and sculpture in Central Europe. His work analyzes how nationalisms—Polish, German, and Silesian—have instrumentalized art and heritage to legitimize political claims and shape regional identity. Themes such as the postcolonial critique of museum curation, the historiography of art history, and the interplay between Catholicism and nationalism recur across his scholarly output. Jerzy Gorzelik is actively engaged in public outreach, having conducted lectures, workshops, and educational projects on Silesian art history in collaboration with institutions such as the House of Polish-German Cooperation and the Foundation Dom Modernisty. He has also contributed to academic discourse through platforms like ResearchGate, Academia.edu, and Google Scholar, and maintains an ORCID profile (0000-0001-6405-9835).

Dina El-ZanfalyView profile

Assistant Professor

• Computational Design
• Human-Computer Interaction
• Embodied Interaction
• +5 more

Dina El-Zanfaly serves as an Assistant Professor in the School of Design at Carnegie Mellon University (CMU), where she directs the hyperSENSE: Embodied Computations Lab. Her work bridges computational design and human-centered interaction, focusing on how physicality shapes sensory experiences and cognitive processes through intelligent systems. Education: PhD in Design and Computation, Massachusetts Institute of Technology (MIT) Master of Science in Design and Computation, MIT (Fulbright scholar) Her research critically examines computational methods for augmenting sensory perception, with emphasis on embodied sense-making in hybrid environments. She investigates co-creative interactions between humans and intelligent systems, exploring how computational tools empower designers and non-designers to shape products, social spaces, and interconnected technologies. Key questions address mutual learning between humans and machines through improvisation and creative production. Analysis of her 2022-2025 publications reveals dominant themes in mixed reality interfaces, AI-augmented skill acquisition (particularly in crafts and welding), and tangible co-creation with generative AI. Her work consistently integrates physical computing with mindfulness applications and privacy-aware smart environments, demonstrating interdisciplinary reach across education, manufacturing, and therapeutic contexts. Scientific Awards: Fulbright Scholarship As lab director, El-Zanfaly mentors students in computational making and embodied interaction projects. Her research is supported through initiatives like Fab Lab Egypt and collaborations with MIT, where she co-founded the Computational Making Group. She chairs major conferences including Fab15 in Egypt and serves on the DESFORUM program committee, indicating significant leadership in maker education and design research communities. She founded and leads the hyperSENSE Lab at CMU, which investigates computational embodiment through projects like Origami Sensei and Sand-in-the-loop. Previously, she co-established the Computational Making Group at MIT and co-founded Fab Lab Egypt (the first community maker space in North Africa/Arab world), demonstrating sustained commitment to global maker ecosystems and interdisciplinary team building.

Amir Safavi-NaeiniView profile

Associate Professor

• Quantum Technologies
• Photonics
• Applied Physics
• +5 more

Amir Safavi-Naeini is an Associate Professor of Applied Physics at Stanford University's School of Humanities and Sciences, with a courtesy appointment in Electrical Engineering. He leads the Laboratory for Integrated Nano-Quantum Systems (LINQS), focusing on chip-scale quantum technologies at the intersection of photonics, optomechanics, and nanofabrication. Ph.D., California Institute of Technology, Applied Physics (2013) B.ASc., University of Waterloo, Electrical Engineering (2008) His research centers on quantum acoustics , optomechanical transduction , and microwave-to-optical conversion , aiming to create scalable quantum devices for sensing and communication. Recent work includes developing 2D optomechanical crystals, vacuum beam guides for quantum networks, and programmable microwave delay lines. Scientific Awards 2022 Moore Inventor Fellowship ($825,000 over 3 years) He has supervised doctoral students including Sultan Malik, Felix Mayor, Wentao Jiang, and Oliver Hitchcock, while collaborating with Caltech's Michael Roukes on quantum mass spectrometry systems. His lab acknowledges funding from NSF (CAREER, MOLINO), DARPA, DOE (Q-NEXT), NIH, Moore Foundation, Packard Foundation, and industry partners like AWS and NTT. LINQS Lab develops lithium niobate photonic circuits for quantum applications, with expertise in cryogenic optomechanics, parametric amplification, and nonlinear optical processes. Current projects include protein identification chips, quantum acoustic processors, and ultra-broadband mid-infrared generation.

Ming LiView profile

Professor

• Deep learning
• Natural language processing and automated conversation
• Kolmogorov complexity and its applications
• +8 more

Ming Li is a Professor at the University of Waterloo , holding the Canada Research Chair in Bioinformatics . Affiliated with the David R. Cheriton School of Computer Science , his research spans Bioinformatics , Kolmogorov Complexity , Deep Learning , Natural Language Processing , and Computational Biology . His contact details include office Davis Center 3355 and email mli@uwaterloo.ca . Research Interests include Bioinformatics (protein/antibody sequencing, structure analysis), Deep Learning , Natural Language Processing , Kolmogorov Complexity and Applications , and Algorithms & Complexity (average-case analysis, information distance). Editorial Roles : Co-Managing Editor of the Journal of Bioinformatics and Computational Biology , Associate Editor-in-Chief for Journal of Computer Science and Technology , Editorial board member of multiple journals including SIAM Journal on Computing and Information and Computation . Professional Activities : Served on scientific advisory committees for Genome Prairie and Tsinghua University, and numerous international conference program committees (e.g., KDD 2007, CPM 2007, FOCS'99). Awards & Honors : Killam Prize (2010) IEEE Granular Computing Outstanding Contribution Award (2010) Premier's Discovery Award (2009) Fellow of Royal Society of Canada, ACM, and IEEE (2006) Killam Fellowship (2001) E.W.R. Steacie Memorial Fellowship (1996) Multiple Best Paper Awards Students & Postdocs : Mentored over 30 graduate students and postdocs, including current advisees Guangyu Feng, Anqi Cui, and alumni like Babak Alipanahi, Xin Chen, and Brona Brejova.

Jose Antonio Hinojos MoralesView profile

Researcher

• Pictorial languages and procedures
• Landscape theory
• Nature and culture relationships
• +5 more

Jose Antonio Hinojos Morales is a contemporary artist and researcher affiliated with Miguel Hernández University of Elche, where he completed his PhD in 2020. His academic work focuses on contemporary painting practices within the broader context of visual arts research. His research interests center around pictorial languages and procedures in contemporary contexts , with particular emphasis on the relationship between landscape, nature, and culture. He investigates how landscapes function as cultural constructs and explores innovative methodologies in the representation of the human face through art. His work also engages with decolonial thought and aesthetics, media archaeology, and expanded painting techniques. Hinojos Morales' artistic output demonstrates significant trends in contemporary Spanish art, particularly in the exploration of spiritual, philosophical, and scientific concepts through visual media. His work often challenges conventional perceptions and hegemonic epistemological positions, creating dialogues between traditional and contemporary artistic approaches. Second place, VIII International Painting Competition 'Miradas 2018', Chicago (USA), 2018 Second Prize, XIX Pastor Calpena Painting Prize, Aspe (Alicante), 2015 First Prize, XLVI National Painting Contest Vila de Sant Joan d'Alacant, 2013 First Prize, III National Painting Competition No to Fear, La Nucía (Alicante), 2013 Third Prize, XVII National Painting Competition City of Antequera, Antequera (Málaga), 2013 As an educator and researcher, Hinojos Morales has coordinated the Altea Artistic Residency program, directing multiple landscape-focused scholarship-residencies that support emerging artists. His work bridges academic research with professional artistic practice, contributing to both scholarly discourse and the contemporary art scene in Spain.

Albert S. BerahasView profile

Assistant Professor

• Nonlinear Optimization
• Machine Learning Optimization
• Stochastic Optimization
• +5 more

Albert S. Berahas is an Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan's College of Engineering. He joined the university in 2020 after completing postdoctoral positions at Lehigh University (2018-2020) and Northwestern University (2018). He holds a PhD in Engineering Sciences and Applied Mathematics from Northwestern University (2018), an MS in Applied Mathematics from Northwestern (2012), and a BSE in Operations Research and Industrial Engineering from Cornell University (2009). His research focuses on designing, developing, analyzing, and implementing algorithms for solving large-scale nonlinear optimization problems. His work spans multiple sub-fields including constrained optimization, optimization for machine learning, stochastic optimization, derivative-free optimization, and decentralized optimization. He is affiliated with the Michigan Institute for Data Science (MIDAS), the Michigan Institute for Computational Discovery and Engineering (MICDE), and the Michigan Center for Applied and Interdisciplinary Mathematics (MCAIM). Berahas has received numerous honors including the Charles Broyden Prize (2025), the Air Force Office of Scientific Research Young Investigator Program award (2025), the IISE Operations Research Division Teaching Award (2024), and the North Campus Dean's MLK Spirit Award for Community Building & Impact (2024). His recent publications demonstrate strong activity in developing novel optimization frameworks with theoretical guarantees for challenging problem settings. His research has been supported by significant grants including from the Office of Naval Research (ONR) and the Air Force Office of Scientific Research. He actively mentors PhD students and has successfully advised Jiahao Shi, who defended his dissertation in March 2025 and joined Amazon. Berahas is also engaged in community outreach, particularly through initiatives like Engage Detroit that aim to empower Detroit's next generation of engineers.

Thomas WildView profile

Professor

• Manycore system on chip (SoC) architectures
• Network processor (NPU) architectures
• On-chip communication architectures
• +3 more

Dr.-Ing. Thomas Wild serves as an Academic Director at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology at the Chair of Integrated Systems. He maintains an active research and teaching role at the institution, with his office located in Building N1 (Theresienstr. 90), Room N2136 in Munich, Germany. Dr. Wild's research focuses on advanced computing architectures, with particular emphasis on manycore system on chip (SoC) architectures, network processor (NPU) architectures, on-chip communication architectures including networks on chip (NoC), and system level design methodologies. His work bridges theoretical research with practical implementation, often exploring design space exploration techniques to optimize system performance. The evolution of his research over two decades demonstrates a consistent focus on improving communication architectures and system-level design for embedded and high-performance computing platforms. His recent publications (2023-2025) reveal a growing integration of machine learning techniques with traditional hardware design, particularly in optimizing power-performance tradeoffs in embedded systems. There's a clear trend toward hardware-software co-design approaches, with significant work on SmartNICs, Linux system optimization, and network processing acceleration. His research shows strong interdisciplinary connections between computer architecture, networking, and machine learning. EUROPRACTICE representative for TUM city campus, facilitating access to commercial EDA tools for academic purposes Active collaborator with Professor Andreas Herkersdorf and other researchers at TUM Focus on practical implementations with FPGA-based prototyping and real system modifications Dr. Wild teaches several hardware design courses including VHDL Lab, SystemC Lab, and HW/SW Codesign, contributing to the education of next-generation computer engineers. His teaching directly complements his research in system design and hardware acceleration, providing students with hands-on experience in cutting-edge technologies.

Wendy Wiedenhoft MurphyView profile

Professor

• Sociological Theory
• Environmental Sociology
• Sociology of Consumption
• +5 more

Wendy Wiedenhoft Murphy serves as Professor in John Carroll University's Department of Sociology and Criminology since 2003, teaching courses including Sociological Theory, Consumer Culture and Society, and Sustainability and Climate Justice. Her Ph.D. from the University of Maryland anchors her expertise in sociological theory and critical consumption studies. Educational background: Ph.D., University of Maryland Her research critically examines consumer culture's intersection with debt, inequality, and environmental justice through sociological theory. Current work investigates citizen debt audits in Puerto Rico and flawed consumer narratives in U.S. financial systems, with a forthcoming SAGE book Sustainability and Climate Change (2025) expanding into climate justice frameworks. Publication analysis reveals evolving scholarship from historical Progressive Era consumer movements to contemporary debt resistance, consistently analyzing neoliberal governance structures. Recent work emphasizes citizen-led justice initiatives in financial and environmental systems, demonstrating theoretical rigor applied to urgent socio-ecological crises. Dr. Murphy co-authored major textbooks including Introduction to Sociology (5th ed., 2019) and Essentials of Sociology (3rd ed., 2018) with George Ritzer, and co-edited the Wiley-Blackwell Companion to Sociology (2020), though no scientific awards are documented. No information exists regarding student advising, grant funding, or research laboratories within available materials.

Eduardo Mercado IIIView profile

Professor

• Bioacoustics
• Cognitive Psychology
• Marine Ecology
• +5 more

Eduardo Mercado III is a Professor in the Department of Psychology at the University at Buffalo, College of Arts and Sciences. His research focuses on bioacoustics, cognitive psychology, and marine ecology, particularly the vocal behavior of humpback whales and its implications for understanding human impact on marine ecosystems. He is also known for his work in perceptual learning, autism spectrum disorder, and comparative cognition. Scientific Awards Guggenheim Fellowship Harvard Radcliffe Institute Fellowship Research Trends His recent publications emphasize bioacoustic analysis of humpback whale songs, including their spectral entropy, cyclical variations, and adaptive adjustments to anthropogenic noise. Additional work explores perceptual learning mechanisms in autism, neural network modeling for acoustic classification, and cognitive processes in canines and rodents. Projects Mercado’s “Singers as Sentinels” project combines acoustic analysis of humpback whale songs with public awareness initiatives about ocean noise pollution. The project will produce a book, Why Whales Sing and Dolphins Don’t , and a web-based interface for public engagement.

Andrew Rau-ChaplinView profile

Professor

• High Performance Computing
• Parallel Algorithms
• Data Warehousing
• +14 more

Andrew Rau-Chaplin is a Professor and Dean of the Faculty of Computer Science at Dalhousie University, where he leads the Risk Analytics Lab and contributes significantly to research in high performance computing, parallel algorithms, and risk analytics. He is affiliated with the Institute for Big Data Analytics and has a strong academic and administrative presence. Education: Postdoc - DIMCS (Princeton, Rutgers, Bell Labs) PhD - Carleton University (1993) MCS - Carleton University (1990) BCS - York University (1986) His research focuses on applying parallel and high performance computing to data-intensive domains such as data warehousing, OLAP, catastrophe modeling, and risk analytics. He emphasizes both algorithmic design and practical system implementation, with a strong grounding in experimental evaluation. His work spans theoretical studies and real-world applications in finance, bioinformatics, and geospatial systems. The 15 most recent publications reflect a consistent focus on parallel data processing, OLAP optimization, indexing techniques (e.g., Hilbert curves), and risk modeling. Key themes include scalable data cube computation, view selection, adaptive coding, and spatial analytics, demonstrating expertise in both algorithmic innovation and systems-level performance. He has served on numerous scientific committees and grant panels, including NSERC and Compute Canada, and has been a journal editor for JPDC and DMTCS. Dr. Rau-Chaplin has supervised a wide range of graduate students in areas including risk analytics, GPU computing, text analytics, and parallel algorithms. His lab has received funding for postdoctoral, graduate, and undergraduate research positions. He teaches courses such as Parallel Computing, Software Engineering, Data Structures, and Risk Analytics, and has developed software tools like LaHave, Clustal XP, and Digital Coliseum. His lab, the Risk Analytics Lab, focuses on integrating analytics, risk management, and HPC for challenges in catastrophe modeling and financial risk. The lab leverages technologies such as stochastic simulation, optimization, and spatial OLAP.

• Computational Neuroscience
• Machine Learning
• Neural Networks
• +5 more

Prof. Sander Bohte is a part-time full professor of Computational Neuroscience at the University of Amsterdam (Swammerdam Institute of Life Sciences) and an honorary full professor of Bio-inspired Neural Networks at the University of Groningen. He serves as a Scientific Staff Member and Group Leader in the Machine Learning department at CWI, Amsterdam. His work bridges computational neuroscience and machine learning with a focus on continuous-time information processing. Key research interests include: Spiking Neural Networks with predictive coding and multi-compartment models Biologically Plausible Learning in recurrent and deep architectures Working Memory modeling via reinforcement learning Neuromorphic Computing for real-time systems and GPU acceleration His recent publications highlight trends in neural adaptation , predictive coding , and SNN hardware-software co-design . Awards include the Veni Innovational Research Grant (2004) and ERCIM grant (2013) . He actively supervises MSc theses and leads grants like the NWO KIC project 'Selfhealing Neuromorphic Systems' (2024).

Lailiang ChengView profile

Professor

• Plant Physiology
• Fruit Crop Nutrition
• Sugar Metabolism
• +5 more

Lailiang Cheng is a Professor in the Horticulture Section of Cornell University's School of Integrative Plant Science, specializing in the physiological processes of deciduous fruit crops (particularly apple). His research focuses on sugar/malate metabolism, mineral nutrition, and environmental stress responses to improve orchard productivity and fruit quality. He integrates physiological, biochemical, and molecular approaches to study sorbitol signaling and nutrient management in high-density orchards. Education: Doctorate, Oregon State University (1999) Master of Science, Shandong Agricultural University (1989) Bachelor of Science, Shandong Agricultural University (1984) Research Focus: Cheng's work investigates carbon partitioning, malate accumulation, and nutrient transport dynamics in apple trees under abiotic stresses. His extension program delivers nutrient management strategies to the apple industry, while his teaching emphasizes analytical techniques (PLSCI 6170) and crop nutrition principles (PLSCI 4551/6551). Publication Analysis: Recent articles (2021-2025) reveal dominant themes in molecular regulation of fruit acidity, transporter biology, stress-responsive transcription factors, and omics-assisted breeding. Over 70% of publications involve collaborative work on apple genomics, with consistent emphasis on translating basic research into orchard management solutions. Awards & Recognition: No scientific awards mentioned in source materials. Academic Contributions: Advises graduate students in Horticulture; research supported by Cornell University Agricultural Experiment Station. Collaborates extensively with pomology breeders, extension specialists, and molecular biologists globally.

Mark MacLachlanView profile

Professor

• Supramolecular Chemistry
• Materials Chemistry
• Nanomaterials
• +5 more

Mark MacLachlan is a distinguished Professor and currently serves as the Dean of the Faculty of Science at the University of British Columbia (UBC). He leads a vibrant research group in the Department of Chemistry focused on supramolecular materials, with expertise spanning organic, inorganic, and polymer chemistry. His work bridges fundamental molecular design with practical applications in energy, electronics, and sustainable materials. Dr. MacLachlan's research interests center on supramolecular chemistry and materials science, with emphasis on nanomaterials, porous structures, and cellulose-based systems. His group develops novel organic and inorganic molecules and materials with applications in electronics, photonics, catalysis, and environmental technologies. Key research areas include mesoporous materials for optics and catalysis, supramolecular chemistry with macrocycles, structurally interesting molecules, and self-assembled systems including gels. His work often addresses environmental challenges and alternative energy applications such as solar energy conversion and hydrogen fuel cells. Analysis of his recent publications reveals a strong focus on cellulose nanocrystals and their applications in photonic materials, energy storage, and responsive systems. His work integrates supramolecular chemistry with platinum-based systems for molecular machines and recognition. The research demonstrates interdisciplinary approaches combining chemistry, materials science, and nanotechnology to create functional materials with precisely controlled properties. Fellow of the Royal Society of Chemistry (UK) (2016) Tier 1 Canada Research Chair in Supramolecular Materials (2015-2029) Elected Fellow of the Royal Society of Canada (FRSC) (2014) Rutherford Memorial Medal (Royal Society of Canada) (2013) Killam Award for Excellence in Graduate Student Mentorship (UBC) (2013) NSERC Steacie Memorial Fellowship (2012-14) Dr. MacLachlan has mentored numerous graduate students and postdoctoral researchers, fostering a collaborative research environment that spans multiple disciplines. His group employs a wide range of characterization techniques including electron microscopy, spectroscopy, and X-ray crystallography. The MacLachlan research group maintains active collaborations with institutions worldwide, including the WPI Nano Life Science Institute at Kanazawa University where he serves as a Visiting Professor. The MacLachlan group operates state-of-the-art facilities for synthesizing and characterizing novel materials, with particular expertise in chiral nematic structures, mesoporous materials, and supramolecular assemblies. Their work on cellulose nanocrystals has led to innovative applications in photonic materials, energy storage devices, and responsive systems.