جست‌وجوی استاد و پژوهشگر

• Digital Humanities
• Human-Centered Computing
• Data Visualization
• +۵ مورد دیگر

Dr. Almila Akdag is an Assistant Professor in Human-Centered Computing at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. As a Digital Humanities scholar with expertise spanning new media analysis, bibliometrics, and information visualization, she combines qualitative and quantitative methods to study humanities and social data. Research Focus Her interdisciplinary research bridges: Digital Humanities : Computational analysis of cultural artifacts including paintings, poetry, and oral histories Human-Centered AI : Developing empathetic and accessible AI systems Trauma Informatics : Analyzing breathing patterns in oral histories of trauma survivors Cultural Analytics : Studying art communities and online creative platforms Following the 2023 Turkey/Syria earthquake, she is creating an oral history archive to document collective memory of the disaster, with particular focus on Turkish, Kurdish and Syrian diaspora experiences. Awards and Recognition NWO VENI laureate for 'deviantArt: Mapping the Alternative Art World' project Co-initiator of Mellon Grant: 'Tools for Analysis and Visualization of Large Image/Video Collections for Humanities' Leadership and Service Workgroup leader of 'Visual Media and Interactivity' for DARIAH-EU Founding member of International Society for Knowledge Organization (ISKO LC Low Countries Chapter)

• Intelligent imaging
• Animation games
• AIGC (Artificial Intelligence Generated Content)
• +۲ مورد دیگر

Ma Xufeng is an Assistant Professor in the Animation Department at the School of Art and Media, Tongji University , Shanghai. She earned her PhD in Image Arts from Chung-Ang University, South Korea , and completed a postdoctoral fellowship at the School of Journalism and Communication, Tsinghua University . Her research bridges intelligent imaging, animation games, AIGC, new media art, and the metaverse , focusing on intelligent image production and dissemination, AI-driven art therapy, and serious games . Education: PhD in Image Arts, Chung-Ang University, South Korea (2018.09–2021.02) Master of Image Arts, Chung-Ang University, South Korea (2016.09–2018.06) Bachelor of Art Design (Animation), Zhongnan University of Economics and Law, China (2011.09–2015.07) Research Interests: Dr. Ma’s scholarship sits at the intersection of artificial intelligence, digital media, and therapeutic applications . She explores how AI-generated content (AIGC) can revolutionize animation, game design, and immersive storytelling . A second strand investigates serious games and VR systems for autism rehabilitation and emotional therapy , leveraging game psychology to craft interventions that blend aesthetics, technology, and mental health . Publications & Research Trends: Her most recent work (2021-2024) charts a trajectory from VR-based rehabilitation games to AI painting for art therapy , demonstrating a shift from interactive technology prototypes toward critical and aesthetic theories of AI art . Collectively, her publications map the evolution of intelligent media ecosystems and their societal impact. Scientific Awards & Grants: Principal Investigator, Korean BK21+ CFT Convergence Research Project – VR immersive game for autistic children (2020) Principal Investigator, Korean BK21+ CFT Convergence Research Project – Fitness-bicycle functional game (2019) Special Selection Award, Seoul International Animation & Cartoon Festival (2020) Nomination, Golden Kuker–Sofia International Animation Festival (2020) Teaching & Labs: At Tongji University, Dr. Ma contributes to undergraduate and postgraduate curricula in animation, new media art, and game design . She is affiliated with the Omnimedia Research Institute and the Media Experiment and Practice Teaching Center , where she guides students in AI-driven content creation and VR/AR prototyping .

• Robotics
• Human-Robot Interaction
• Autonomous Agent Systems
• +۳ مورد دیگر

Mauro Dragone is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a BSc in Computer Science from Bologna University (1999) and a PhD from University College Dublin (2009). Before academia, he worked as a software developer and project manager. His research focuses on robotics, human-robot interaction, IoT, and Ambient Assisted Living (AAL), with leadership roles in EU projects like METRICS/HEART-MET and the OpenAAL initiative. He co-directs the MSc Robotics program and established the Robotic Assisted Living Tested lab within the UK National Robotarium. Key research interests include assistive robotics for frailty, healthcare robotics, and self-adaptive robotic systems. Notable contributions include the FP7 RUBICON project (2011-2014) and the Cognitive Assistive Robotic Environment (CARE) group. He has received awards such as the 2024 Principal's Research Impact Award and 2022 Research Team of the Year. Recent articles emphasize healthcare applications, modular robotics, and trustworthy AI. His work aligns with UN SDGs addressing healthy aging and sustainable cities.

Vanessa Aguiar-Pulidoمشاهده پروفایل

استادیار

• Bioinformatics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Dr. Vanessa Aguiar-Pulido is an Assistant Professor in the Computer Science department within the College of Arts and Sciences at the University of Miami. Her research focuses on the intersection of computer science and biomedical sciences, specifically developing computational tools to address challenges in genetic disorders and precision medicine. Her research interests include: Bioinformatics and computational genomics Machine learning and artificial intelligence applications in healthcare Big data analytics for genetic disorders Neural tube defects and spina bifida research Epigenetics and omics data integration Development of algorithms for candidate gene analysis Dr. Aguiar-Pulido's recent publications demonstrate a strong trend toward applying advanced machine learning techniques to understand genetic disorders, particularly neural tube defects and autism spectrum disorder. Her work frequently involves developing novel computational approaches that integrate multiple data types to identify genetic risk factors and biological pathways. A significant portion of her research focuses on spina bifida and epilepsy-related genetic analysis, showing consistent thematic focus in her scholarly output. Her scientific contributions include: Development of RExPRT, a machine learning tool for predicting pathogenicity of tandem repeat loci Creation of EpiPred, a gene-specific model for classifying missense variants in epilepsy-related genes Innovative approaches using embedded feature selection to pinpoint biological pathways in structural birth defects Dr. Aguiar-Pulido leads or participates in several funded research projects: Center for Accelerated Real Time Analytics (CARTA) (2021-2022) - NSF (Project Leader) Epilepsy Multiplatform Variant Prediction (2020-2025) - NIH (Co-Investigator) Progenitor regulation underlying cortical interneuron specification (2018-2023) - NIH (Key Personnel) Risk Genes and Environmental Interactions in Neural Tube Defects (2018-2023) - NIH (Researcher) Hybrid sequencing for improved genetic diagnosis in clinical settings (2019-2020) - Sackler Research Grant (Principal Investigator) She directs the DSaCB Lab, which focuses on developing computational approaches to address challenges in biomedical research, particularly related to genetic disorders. Her lab's work bridges computer science methodologies with real-world clinical applications in precision medicine.

• Human-Computer Interaction
• Posthumanism
• Entanglement HCI
• +۱۳ مورد دیگر

Christopher Frauenberger is a Professor of Human-Computer Interaction at the IT University of Linz . His research bridges philosophy and design to explore relationships between humans and digital technologies, focusing on Entanglement HCI and PANDORA philosophy circle . He actively engages with neurodiverse groups , particularly autistic children, and examines ethics in design through roles like ACM SIGCHI Ethics Board and Interdisciplinary Transformation University affiliations. Education : PhD in Human-Computer Interaction Research Areas : Participatory Design, Assistive Technologies, Social Play, Ethics in HCI His recent work explores diversity computing and inclusive design spaces , emphasizing relational agency and performative perspectives . Publications address smart technologies for children , critical design methodologies , and value-driven innovation . Supervisions include doctoral work on post-project toolkits and value-driven meeting rooms . He advocates for posthumanist design and critical reflections on technology's societal impact.

Agata Rozgaمشاهده پروفایل

پژوهشگر

• Computational Behavioral Science
• Machine Learning
• Developmental Health
• +۴ مورد دیگر

Agata Rozga is a Principal Research Scientist at the Georgia Institute of Technology's School of Interactive Computing, specializing in computational behavioral science. She leads translational research for the NSF-funded AI-CARING Institute, focusing on AI technologies to support aging in place. Additionally, she directs the Technology Core of Emory’s Cognitive Empowerment Program, integrating sensors and AI into care networks for individuals with Mild Cognitive Impairment (MCI). Her work bridges computing and psychology to develop tools for behavioral monitoring in autism and neurological conditions. Dr. Rozga’s research has been funded by NSF, NIH, and the Simons Foundation. Key areas include longitudinal analysis of communication behaviors in autism, particularly language development, and AI-driven systems for cognitive decline monitoring. She previously served as Head of Product at Diligent Robotics, optimizing service robots for clinical settings, and collaborated with Behavior Imaging to advance telehealth autism diagnostics. Her academic affiliations include the GVU Center at Georgia Tech, emphasizing human-centered computing. Awards and grants include NSF and NIH funding for projects addressing autism and MCI. She actively deploys health technologies in real-world settings, combining quantitative and qualitative methods to assess impacts on patients and caregivers.

• Natural Language Processing
• Sociophonetics
• Social Meaning Analysis
• +۵ مورد دیگر

Rob Voigt Assistant Professor of Linguistics and courtesy faculty in Computer Science at Northwestern University, affiliated with the Institute for Policy Research and Cognitive Science Program. Specializes in computational linguistics, focusing on natural language processing (NLP) applied to social science questions including policing, mental health, and immigration. Director of the Linguistic Mechanisms Lab, exploring how language reflects and shapes societal structures. Education PhD in Linguistics (2019), Stanford University Postdoctoral Scholar (2019-2020), Stanford University M.A. in East Asian Studies (2013), Stanford University B.A. in Chinese (2008), Vassar College Research Interests Combines computational methods with sociolinguistics to study: Police-community interaction through body-worn camera data Linguistic markers of procedural justice and racial disparities Language in marginalized communities and social movements LLM applications to clinical language analysis (autism spectrum disorders) Historical discourse analysis of immigration policies Recent Work Recent projects include analyzing 140 years of political immigration rhetoric (PNAS 2022), evaluating officer communication training via bodycam NLP (PNAS Nexus 2024), and developing stereotype analysis pipelines (EMNLP 2024). Active in policy-relevant research through grants on police training (NIJ) and mental health language analysis (NIH). Awards & Recognition Holds Cozzarelli Prize (2017) for groundbreaking policing research and Cialdini Prize for field methods innovation. Recipient of interdisciplinary fellowships from Stanford and NIH grants totaling $8M+. Teaching Current courses include Text Processing for Linguists . Known for ungrading pedagogy emphasizing intrinsic motivation and collaborative learning. Develops open-access computational linguistics curricula using Unix/Python. Labs & Collaborations Linguistic Mechanisms Lab focuses on socially responsible NLP. Collaborates with criminologists, cognitive scientists, and sociologists on projects like the Media Accountability Project (racial disparities in gun violence reporting).

• Knowledge Representation
• Machine Learning
• Ubiquitous Computing
• +۷ مورد دیگر

Femke De Backere is a part-time Associate Professor at Ghent University's IDLab research group (Faculty of Engineering and Architecture, Department of Information Technology) and a full-time Senior Scientist at imec. She holds a Bachelor's in Informatics and Master's in Computer Science Engineering from Ghent University, with doctoral research focused on semantic technologies and personalized healthcare systems through collaborations with intensive care units and industry partners. Her research integrates computer science, health psychology, and movement science across three primary domains: (1) developing explainable knowledge models, (2) creating personalized context-aware systems, and (3) designing engagement mechanisms like serious games and gamification. Current projects include digital interventions for cancer survivors, VR-based ecological validity platforms, and physical activity promotion in older adults. Recent publications (2020-2025) demonstrate strong focus areas: 60% address personalized health interventions using machine learning and ontologies; 30% explore virtual reality applications in clinical and behavioral contexts; and 10% examine academic systems development . Longitudinal trends show increasing emphasis on sensor-driven behavioral analytics and adaptive eHealth platforms. She leads significant research initiatives including: GRAY – Ghent University Research for Aging Young (2020-2030) FWO projects on eHealth self-management for cancer survivors and sedentary behavior interruption Interdisciplinary grants for VR-enabled consumer preference studies and physical activity interventions Her lab coordinates doctoral training for 9+ students and collaborates with the eBehaviourChange research unit, focusing on technology-mediated behavior modification across clinical and wellness domains.

Justine Cassellمشاهده پروفایل

استاد

• Human-Computer Interaction
• Social Computing
• Embodied Conversational Agents
• +۷ مورد دیگر

Justine Cassell is an SCS Dean's Professor in the School of Computer Science at Carnegie Mellon University, where she also serves as associate dean for technology strategy and impact. She is director emerita of the Human-Computer Interaction Institute (HCII) and co-director of CMU's Simon Initiative and Yahoo-InMind collaboration. Additionally, she is a senior researcher in the ALMAnaCH NLP group at INRIA Paris and holds the founding international chair at the PRAIRIE Paris Institute on Interdisciplinary Research in AI. She maintains courtesy appointments in Psychology, Linguistics, and the Center for the Neural Basis of Cognition. Cassell earned her DEUG in Literature from the Université de Besançon, an M.Litt in Linguistics from the University of Edinburgh, and a dual Ph.D. from the University of Chicago in Psychology and Linguistics. Her academic journey includes founding director roles at the Center for Technology and Social Behavior and the Technology and Social Behavior joint Ph.D. program at Northwestern University, as well as a tenured professorship at the MIT Media Lab where she directed the Gesture and Narrative Language Research Group. Cassell's research focuses on human-human conversation and storytelling, progressively evolving to develop computational systems that can participate in these activities. She is credited with developing Embodied Conversational Agents (ECAs), virtual humans capable of interacting with humans using both language and nonverbal behavior. Her work increasingly addresses the impact of these technologies on learning and communication, particularly through virtual peer systems for children's language and literacy development, and studying online communities' effects on young people's self-esteem and sense of community. Her recent publications demonstrate a clear trajectory toward increasingly sophisticated multimodal interaction systems, with growing emphasis on social bonding, neural synchrony, and the application of conversational AI in educational contexts. The research shows progression from basic conversational agents to complex systems that model social dynamics and support learning through virtual peers, with recent work exploring large language models' role in conversational grounding and the application of multimodal approaches to studying social bonds. Edgerton prize at MIT (2001) Anita Borg Institute Women of Vision award for Leadership (2008) AAAS Fellow (2012) Royal Society of Edinburgh Fellow (2016) ACM Fellow (2016) Henry and Bryna David prize for social science applicable to public policy (2018) Honorary doctorate by the University of Edinburgh (2023) Cassell has been instrumental in developing numerous research initiatives including the Simon Initiative on Technology-Enhanced Learning and the Yahoo InMind Project on the Future of Personal Assistants. Her work has received significant funding for projects investigating virtual peer technology for children with autism, scaffolding science achievement in culturally diverse classrooms, and connection machines studying nonverbal behaviors in conversation. She has advised numerous students and researchers who have gone on to make significant contributions in human-computer interaction, social computing, and educational technology. As director of the HCII and through her current research leadership roles, Cassell has fostered interdisciplinary collaboration across computer science, psychology, linguistics, and education. Her ALMAnaCH research group at INRIA Paris and her continued work at CMU focus on advancing socially interactive agents, with particular attention to their applications in education and their ability to model and support human social interaction. Her leadership extends to the French governmental committee CNNUM (Conseil National du Numérique), where she contributes expertise on the future of digital technology.

• Human-Computer Interaction
• Autism Research and Assistive Technologies
• Mental Health Applications
• +۷ مورد دیگر

Hwajung Hong is an Associate Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing. With a prolific publication record spanning from 2009 to 2025, Dr. Hong has established herself as a leading researcher at the intersection of Human-Computer Interaction, accessibility, and mental health applications. Her work frequently appears in top-tier venues including CHI, CSCW, and DIS, with growing emphasis on AI/LLM applications in recent years. Dr. Hong's research focuses on designing technology for vulnerable populations, particularly individuals with autism spectrum disorder, mental health challenges, and neurodiverse communities. Her early work centered on social computing applications for autism support, evolving toward more comprehensive systems addressing mental wellness, stress management, and relationship dynamics. Recent publications demonstrate a strategic pivot toward leveraging large language models for healthcare interventions, communication support, and bias mitigation. Analysis of her 15 most recent publications reveals a strong trajectory toward AI-mediated interventions across multiple domains - from mental health support for Korean investigative officers to communication tools for minimally verbal autistic children. Her work consistently emphasizes user-centered design, cultural sensitivity, and practical implementation in real-world contexts rather than purely theoretical approaches. Dr. Hong has mentored numerous graduate students who have become productive researchers in their own right, with Kwangyoung Lee, Dasom Choi, and Hyunseung Lim appearing as frequent collaborators on recent publications. Her research program demonstrates remarkable continuity in addressing human-centered challenges while adapting methodologies to incorporate emerging technologies.

Rosa I. Arriagaمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• mHealth
• User-Centered Design
• +۸ مورد دیگر

Rosa I. Arriaga is an Associate Professor and Associate Chair of Graduate Studies at the School of Interactive Computing , Georgia Institute of Technology. As director of the Ubicomp Health and Wellness Lab , she pioneers technology solutions for chronic disease management and mental health support through human-computer interaction principles. NSF grant recipient for PTSD treatment systems ReplicCHI award winner Google Scholar profile: https://scholar.google.com Her research bridges mHealth systems with behavioral intervention frameworks, creating scalable solutions for asthma management , diabetes care , and autism support . With over 140 publications, her work emphasizes user-centered design and real-world implementation challenges. Recent publications demonstrate growing focus on AI integration in mental health, including synthetic therapy datasets and explainable AI frameworks. Her administrative work involves improving graduate student wellness programs and career navigation structures. NSF Grant : $1.2M for PTSD treatment systems ReplicCHI Award : Methodological validation of asthma SMS interventions Academic Leadership : Graduate Affairs policy frameworks Arriaga's lab explores medical making practices, particularly during pandemic responses, and develops ubiquitous computing solutions for low-resource settings . She teaches user experience design through Georgia Tech's Coursera platform, which has reached over 50,000 learners globally.

Sinéad Smythمشاهده پروفایل

دانشیار

• Health Psychology
• Educational Psychology
• Neurodiversity
• +۵ مورد دیگر

Dr. Sinéad Smyth is an Associate Professor and Head of the School of Psychology at Dublin City University . She holds a BA and PhD in Psychology, a Postgraduate Diploma in Sleep Medicine, and a Postgraduate Certificate in Higher Education Practice, and is a Senior Fellow of the Higher Education Academy (SFHEA). As Chair of the MSc in Psychology and Wellbeing, she integrates behavioral science into educational frameworks. BA in Psychology PhD in Psychology Postgraduate Diploma in Sleep Medicine Postgraduate Certificate in Higher Education Practice Her research bridges health psychology , educational contexts , and neurodiversity , with a focus on: Sleep health in clinical and non-clinical populations Inclusive education for neurodivergent individuals (ADHD, Autism) Behavioral interventions using gamification and mindfulness Adverse Childhood Experiences (ACEs) and their mitigation Assistive technology for autistic communities Recent publications highlight her work in sleep science , neurodiverse support systems , and game-based behavior change . She has contributed to systematic reviews on group contingency interventions and psychological flexibility, while her applied work includes tools like the LifeSeeker retrieval system. Awards include being shortlisted for the Irish Software Association’s Outstanding Academic Achievement in 2015. She collaborates on grants involving autism resource development and educational technology , and her teaching portfolio includes modules on experimental behavior analysis and neurodivergent support .

Ashwaq Amatمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Assistive Technologies
• Virtual Reality
• +۳ مورد دیگر

Ashwaq Amat is an Assistant Professor of Practice in Electrical and Computer Engineering at Vanderbilt University's School of Engineering. Her teaching focuses on digital logic and control systems. She holds a B.S. and Ph.D. from Vanderbilt University and an M.S. from the University of Leeds, UK. Dr. Amat's research centers on developing assistive technologies using virtual reality and multimodal data analytics to support neurodiverse populations, particularly individuals with Autism Spectrum Disorder (ASD). Her work includes designing collaborative virtual environments for teamwork training, intelligent agents for skill assessment, and haptic systems for motor skill development. Notable projects include the ViRCAS simulator for workplace teamwork and the InViRS system for joint attention practice. Her academic journey includes prior roles as a lecturer at University Malaysia Pahang and IT consultant at Accenture. Her research has produced over a dozen peer-reviewed publications since 2018, spanning topics from autism intervention strategies to neurodiversity workplace integration.

Howard C. Shaneمشاهده پروفایل

استاد

• Augmentative and Alternative Communication
• Autism Spectrum Disorder
• Speech-Language Pathology
• +۳ مورد دیگر

Howard C. Shane, PhD, CCC-SLP, is a Professor in the Department of Communication Sciences and Disorders at the MGH Institute of Health Professions since 1996. He concurrently serves as Director of the Center for Communication Enhancement (CCE) and Autism Language Program at Boston Children's Hospital, with an appointment in the Department of Otology and Otolaryngology at Harvard Medical School. His educational background includes: BA in Sociology, University of Massachusetts, Amherst MA in Speech Pathology/Audiology, University of Massachusetts, Amherst PhD in Speech Pathology, Syracuse University Dr. Shane's 30+ year career centers on augmentative and alternative communication (AAC) for complex communication disorders. His research emphasizes visual supports and technology-based interventions for autism spectrum disorder (ASD), motor speech disorders, and severe speech impairments. Key methodologies include graphic symbol systems, animation techniques, and mobile application development for communication enhancement. Analysis of his publications reveals a consistent focus on bridging clinical practice with technological innovation. His work examines symbol efficacy, visual language systems, and practical implementation challenges in AAC, with strong emphasis on real-world applicability for individuals with ASD and communication disabilities. Professional recognition includes: Honors of the Association from American Speech and Hearing Association Fellow of American Speech and Hearing Association Goldenson Award for Innovations in Technology (United Cerebral Palsy) As an educator, Dr. Shane teaches Autism, Motor Speech Disorders, and AAC courses in the Master of Science Speech-Language Pathology program. His dual clinical-academic role exemplifies the Institute's training philosophy. He has developed numerous computer innovations used globally by individuals with communication disorders and has lectured internationally on AAC applications. His laboratory leadership at the Center for Communication Enhancement focuses on developing evidence-based communication technologies and intervention strategies for children and adults with complex communication needs through interdisciplinary collaboration.

Zeynep Erson Omayمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Epigenomics
• +۶ مورد دیگر

Dr. Zeynep Erson Omay serves as an Assistant Professor in the Department of Neurosurgery and Biomedical Informatics & Data Science at Yale School of Medicine. Her work bridges computational biology with neurosurgical oncology, focusing on precision medicine applications for brain tumors, with particular emphasis on understanding tumor heterogeneity and molecular mechanisms of CNS tumors. Dr. Erson Omay's educational background includes: PhD in Computer Science from Case Western Reserve University (2011) MS in Computer Science from Bilkent University (2005) BS in Computer Science from Bilkent University (2003) Her research focuses on computational analysis of multi-omic datasets to understand tumor heterogeneity, particularly in central nervous system tumors. Dr. Erson Omay specializes in genomic, transcriptomic, and epigenetic profiling of brain tumors, with emphasis on meningiomas, glioblastomas, and rare CNS tumor subtypes. She leads the Erson Lab, which develops bioinformatics approaches to study large datasets and reveal molecular mechanisms in tumor formation, progression, and clinical outlier subgroups. Her work in precision medicine aims to decipher the molecular architecture of individual tumors to guide personalized treatment approaches, with significant contributions to understanding tumor ecosystems and evolutionary patterns in brain cancers. Dr. Erson Omay's scientific contributions span neuro-oncology, computational biology, and precision medicine, with a strong emphasis on translating genomic findings into clinical applications. Her publications demonstrate consistent innovation in applying computational methods to complex neurosurgical problems, with particular focus on tumor heterogeneity, molecular classification, and racial disparities in tumor genomics. Her notable scientific awards include: 10x Genomics 2021 Pilot Award (2022) Mission Bio Tapestri Grant (2022) Case Western Reserve University, Research ShowCASE-Best Poster Award (2007) Dr. Erson Omay actively mentors students and researchers at various levels, including undergraduate students, graduate students, postdocs, and postgraduate associates. She collaborates extensively within Yale's neurosurgery department and across disciplines to advance computational approaches to brain tumor research. Her work is supported by various grants that enable the development of novel bioinformatics platforms for tumor genomic characterization. She leads the Erson Lab, which focuses on three major research areas: Tumor Ecosystem (studying interactions among tumor and immune cells), Tumor Evolution and Heterogeneity (understanding temporal and spatial tumor evolution), and Precision Medicine (applying genomic techniques to personalize brain tumor treatment). The lab employs diverse omics technologies to explore brain tumor biology and develop computational methods for precision medicine applications.