جست‌وجوی استاد و پژوهشگر

Srijan Senguptaمشاهده پروفایل

دانشیار

• Statistical Methodology for Network Data
• Bootstrap and Resampling Methods
• Big Data Analysis
• +۶ مورد دیگر

Srijan Sengupta is an Associate Professor of Statistics at North Carolina State University (NC State) since 2020. Previously, he served as an Assistant Professor at Virginia Tech from 2016 to 2020. He holds a Ph.D. in Statistics from the University of Illinois at Urbana-Champaign (2016) and degrees from the Indian Statistical Institute (B.Stat and M.Stat with Distinction). His research focuses on statistical methodology for network data, anomaly detection, bootstrap methods, and scalable inference, with applications in healthcare analytics, epidemiology, and cybersecurity. Education: Ph.D. in Statistics, University of Illinois at Urbana-Champaign (2011–2016) M.Stat (1st Division with Distinction), Indian Statistical Institute (2007–2009) B.Stat (1st Division with Distinction), Indian Statistical Institute (2004–2007) Research Interests: His methodological work includes statistical inference in networks, anomaly detection, bootstrap techniques, and scalable algorithms for big data. Applications span social determinants of health, healthcare analytics, space physics, epidemiology, and cybersecurity. He emphasizes interdisciplinary collaborations, particularly in patient safety event analysis and medical device safety. Awards and Grants: Norton Prize for Outstanding PhD Thesis (2015) NIH R01 Grant ($890,055, Principal Investigator) for statistical algorithms in patient safety (2019–2022) Multiple grants for network inference and anomaly detection (NSF, Socially Determined Inc., Virginia Tech Foundation) Advising and Service: Advises over 20 students across PhD, master’s, and undergraduate research programs. Serves as an Associate Editor for Sankhya, Series B and peer reviewer for top journals. Active in university service roles at NC State and Virginia Tech, including faculty hiring committees and curriculum development. Labs and Collaborations: Leads research on statistical network analysis, including projects funded by NIH and NSF. Collaborates with institutions globally on topics like epidemic thresholds, cybersecurity defenses (e.g., phishing detection), and healthcare analytics.

Mathias Basnerمشاهده پروفایل

استاد

• Sleep Deprivation
• Environmental Noise Effects
• Astronaut Behavioral Health
• +۴ مورد دیگر

Dr. Mathias Basner is a Professor of Psychiatry at the University of Pennsylvania Perelman School of Medicine , where he directs both the Behavioral Regulation & Health Section and the Unit for Experimental Psychiatry within the Division of Sleep and Chronobiology . With dual appointments in Psychiatry and Sleep Medicine, his research bridges aerospace, urban, and clinical environments to study neurobehavioral consequences of sleep loss and noise exposure. Education: MD (1999), PhD in Research (2001) from University of Bochum; MSc in Epidemiology (2006) from University of Bielefeld Key Research Areas: Sleep deprivation effects, environmental noise impacts, astronaut behavioral health, and cognitive performance assessment Research Trends: Using field studies, space analog environments, and large datasets like the American Time Use Survey, Dr. Basner examines sleep-wake cycles, noise-induced stress responses, and cognitive adaptation in extreme environments. His work informs WHO guidelines, FAA policies, and NASA's Mars mission planning. Scientific Recognition: International Space Station Innovation Award (2018) Journal Publication Award for Outstanding Space Medicine Article (2016) Consultant for WHO, ICAO, and FAA noise/sleep guidelines Professional Contributions: Senior Associate Editor for Sleep Health and Frontiers in Physiology , developer of the PVT-B and Cognition test battery for NASA, and principal investigator in major studies including the TWINS study and Inspiration 4 mission.

Azhar Zamمشاهده پروفایل

دانشیار

• Biomedical Optics
• Optical Coherence Tomography (OCT)
• Photoacoustics
• +۵ مورد دیگر

Azhar Zam is an Associate Professor of Bioengineering at NYU Abu Dhabi (NYUAD) and associated faculty at NYU Tandon School of Engineering's Biomedical and Electrical Engineering departments. He holds a B.Sc. from University of Indonesia, M.Sc. from University of Luebeck (Germany), and Ph.D. from Friedrich-Alexander-University Erlangen-Nuremberg (Germany). His research focuses on developing smart optical devices for medical imaging/diagnostics, including laser surgery, OCT, photoacoustics, and AI-driven imaging systems. He leads the Laboratory for Advanced Bio-Photonics and Imaging (LAB-π) at NYUAD and has authored 85+ publications/patents. Education: Bachelor of Science, University of Indonesia M.Sc. Biomedical Engineering, University of Luebeck Ph.D. Engineering, Friedrich-Alexander-University Erlangen-Nuremberg Research Interests: Innovations in biomedical optics, optical-based smart sensors, AI-enhanced diagnostics, and miniaturized medical imaging systems. His work integrates advanced optical technologies with surgical robotics and clinical applications. Professional Contributions: Associate Editor for Frontiers in Photonics Biophotonics section; Reviews Editor for Frontiers in Ophthalmology Retina section. Previously held positions at University of Basel (Assistant Professor), University of Waterloo, and other institutions globally. Labs & Teams: Directs NYUAD's LAB-π lab focusing on bio-photonics innovations. Collaborates across NYU's global network and international partners.

V Stalin Rajمشاهده پروفایل

دانشیار

• Coronaviruses
• Vaccine Development
• Virus Discovery
• +۳ مورد دیگر

V Stalin Raj serves as an Associate Professor in the School of Biology at the Indian Institute of Science Education and Research (IISER) Thiruvananthapuram, where he leads research on coronavirus virology and host-pathogen interactions. Previously, he worked as a Scientist at Erasmus Medical Center in Rotterdam, Netherlands (2010-2017) and completed postdoctoral training at the University of Liege, Belgium. Dr. Raj earned his PhD in Biotechnology from the University of Madras in 2007, with thesis research on White Spot Syndrome Virus and Monodon Baculovirus affecting farmed Penaeus monodon. His academic journey includes a BSc in Microbiology (1999) from the University of Madras and an MSc in Biotechnology (2001) from Madurai Kamaraj University. His primary research focuses on coronavirus entry mechanisms, virus-host interactions, and vaccine development. Dr. Raj is particularly known for his work identifying dipeptidyl peptidase 4 (DPP4) as the functional receptor for MERS-CoV, published in Nature (2013). His laboratory investigates how coronaviruses like MERS-CoV and SARS-CoV-2 enter host cells, with emphasis on developing broad-spectrum antivirals and thermostable vaccines suitable for resource-limited settings. Current projects explore natural compounds like EGCG from green tea as potential inhibitors of viral entry across multiple coronavirus strains. Analysis of his recent publication record reveals a strong focus on coronavirus spike protein interactions, neutralizing antibody development, and innovative vaccine platforms. His work spans fundamental virology to translational applications, with increasing emphasis on addressing challenges posed by SARS-CoV-2 variants and the need for broadly reactive coronavirus countermeasures. Scientific Recognition Co-author on multiple high-impact papers in Nature , Science , The Lancet Infectious Diseases , and PNAS Key contributor to identifying DPP4 as the MERS-CoV receptor, a fundamental discovery in coronavirus research Recipient of postdoctoral fellowships at University of Liege and research opportunities at prestigious institutions including Erasmus MC Dr. Raj serves as a journal referee for Emerging Infectious Disease (CDC), Eurosurveillance (ECDC), Journal of Virological Methods, and other prominent virology publications. His research program at IISER Thiruvananthapuram focuses on developing thermostable vaccine platforms and investigating mechanisms of viral entry inhibition, with particular attention to making coronavirus countermeasures accessible in resource-limited settings worldwide.

Mathangi Gopalakrishnanمشاهده پروفایل

دانشیار

• Pharmacometrics
• Precision Therapeutics
• Predictive Analytics
• +۹ مورد دیگر

Mathangi Gopalakrishnan, PhD, MPharm, is an Associate Professor in the Department of Practice, Science, and Health Outcomes Research at the University of Maryland School of Pharmacy. She is actively engaged in research, mentoring, and academic scholarship, with a focus on quantitative clinical pharmacology and data-driven therapeutic optimization. Education: PhD, Statistics, University of Maryland, Baltimore County MS, Statistics, University of Maryland, Baltimore County MPharm, Birla Institute of Technology & Science, Pilani, Rajasthan, India BPharmacy (Honors), Birla Institute of Technology & Science, Pilani, Rajasthan, India Her research interests center on pharmacometrics, precision therapeutics, predictive analytics, real-world data, and drug development . She integrates principles of clinical pharmacology, advanced frequentist and Bayesian statistical methods, and artificial intelligence/machine learning to enhance patient outcomes, particularly among vulnerable populations. Her lab's work includes designing prospective clinical pharmacokinetic trials for anti-epileptics and antimicrobials in patients on continuous renal replacement therapy, leveraging real-world data from electronic health records to optimize dosing in neonatal opioid withdrawal syndrome and pediatric anticoagulation, and developing models for disease progression in conditions like schizophrenia and binge-eating disorders. The trends in her recent publications reflect a consistent focus on model-informed precision dosing, real-world evidence generation, pharmacokinetic-pharmacodynamic (PK/PD) modeling in special populations, and methodological innovation in clinical trial design . Her work spans diverse therapeutic areas including critical care, neonatology, psychiatry, and maternal health, demonstrating a broad impact of quantitative pharmacology. Dr. Gopalakrishnan is accepting applications for postdoctoral positions in pharmacometrics at the Center for Translational Medicine, indicating active research funding and team leadership. Her collaborations extend to academic medical institutions nationwide, underscoring her role in multi-center research initiatives. She is involved in collaborative research with academic medical institutions across the country and has presented her work at major conferences including the Joint Statistical Meetings (JSM) and the American Conference on Pharmacometrics (ACoP).

• Data Integration
• Data Quality
• Recommender Systems
• +۵ مورد دیگر

Assoc Prof Henry Nguyen is an Associate Professor at Griffith University's School of Information and Communication Technology, with expertise in data integration, data quality, recommender systems, and big data visualization. He directs the Responsible Big Data Lab and has secured over $3.5M in funding since 2015 from ARC, DFAT, and industry partners. PhD & Master's from EPFL, Switzerland ARC DECRA Award (2020) His research focuses on privacy-preserving AI for social data , IoT , and satellite analytics , with over 200 publications in top venues like SIGMOD, KDD, and IEEE TKDE. Recent work spans federated learning , graph neural networks , and secure AI systems . Article trends highlight 2024-2025 publications on: Federated recommendation security On-device AI optimization Privacy-preserving explainable AI Graph condensation techniques LLM-powered risk analysis Cloud-edge collaboration Scientific contributions include ARC DECRA Award 2020 Multiple senior PC roles in A* conferences Citations in International AI Safety Report 2025 Henry Nguyen supervises 12 active PhD/MSc students and has directed 8 completed doctoral theses . His funded projects include collaborations with Ubitech , KARI , and CSIRO , focusing on Australia-Korea partnerships and responsible AI development.

• Infectious Diseases
• HIV/AIDS Research
• Antimicrobial Resistance
• +۵ مورد دیگر

Dr. Steven Aronin is an Associate Clinical Professor of Medicine at Yale School of Medicine and serves as Chief of Infectious Disease at Waterbury Hospital. He holds multiple leadership roles including Medical Director of the Waterbury Hospital Infectious Disease and Travel Clinic, Program Director for Ryan White HIV Programs, and Hospital Epidemiologist. His academic work focuses on infectious diseases, particularly meningitis, endocarditis, HIV/AIDS, and antibiotic efficacy. Dr. Aronin completed his MD at Ross University School of Medicine and residency at Yale Primary Care Internal Medicine Program. He has been a Core Faculty member at Waterbury Hospital since 2009 and oversees the Yale-Waterbury Internal Medicine Residency Program's Infectious Disease training. He is also President of the Connecticut Infectious Disease Society. His research emphasizes translational antibiotic studies, particularly sulopenem's efficacy against resistant pathogens like E. coli and K. pneumoniae. Recent work includes phase 3 trials comparing sulopenem to ertapenem for intra-abdominal infections, and evaluating its use in UTIs and anthrax models. Key findings include sulopenem's superior efficacy in UTIs and its potential as a biodefense agent against inhalational anthrax. Dr. Aronin actively contributes to clinical guidelines through studies on HIV screening integration and bacteriuria's clinical impact. His work bridges academic research with direct patient care, emphasizing antibiotic stewardship and improving infectious disease treatment outcomes.

Xuan Zhangمشاهده پروفایل

دانشیار

• Artificial Intelligence Hardware
• Machine Vision Sensors
• Electronic Design Automation
• +۳ مورد دیگر

Xuan Zhang serves as Associate Professor in Electrical and Computer Engineering at Northeastern University, leading the Sensory AI Lab since joining in January 2024. Her research bridges computer architecture, integrated circuits, and artificial intelligence to develop miniaturized AI systems for autonomous physical platforms. She earned her PhD in Electrical and Computer Engineering from Cornell University in 2012. Her educational background forms the foundation for her interdisciplinary work spanning hardware and software co-design. Dr. Zhang's research focuses on artificial intelligence hardware, machine vision sensors, and security for autonomous systems. She pioneers techniques for efficient in-sensor computing, analog circuit optimization via machine learning, and hardware-level privacy preservation. Her work addresses critical challenges in energy efficiency, robustness, and security for edge AI deployment, particularly in resource-constrained environments like medical devices and autonomous vehicles. Analysis of her 2023-2025 publications reveals three dominant trends: (1) hardware-accelerated privacy mechanisms for sensors, (2) machine learning-driven analog circuit design automation, and (3) energy-efficient architectures for neural network inference. These works consistently target real-world applications in healthcare, autonomous systems, and semiconductor design. Her accolades include the prestigious NSF CAREER Award (2020) and leadership in a $10 million federal semiconductor initiative. She contributes to national efforts in AI-powered chip design through the National Center for the Advancement of Semiconductor Technology. Dr. Zhang advises graduate researchers in the Sensory AI Lab, securing significant funding for projects spanning hardware security, in-sensor computing, and autonomous system assurance. Her lab collaborates with federal agencies and industry partners on cutting-edge semiconductor research. The Sensory AI Lab operates at the hardware-software interface, developing novel architectures for intelligent edge devices. Current projects include optical privacy preservation, robust analog design tools, and energy modeling frameworks for in-sensor visual computing systems.

• Health Law
• Global Health
• Pharmaceutical Policy
• +۳ مورد دیگر

Dr. Katrina Perehudoff is a Visiting Professor at the University of Amsterdam's Faculty of Law, Department of Health Law. Her research focuses on global health law, pharmaceutical policy, and the intersection of human rights with access to medicines. She investigates how international legal frameworks influence healthcare equity, particularly in low- and middle-income countries (LMICs). Her work emphasizes EU policy impacts, corporate accountability, and pandemic response strategies. Key research areas include: Pharmaceutical governance and corruption prevention Human rights frameworks for vaccine equity Decolonizing health governance Legal mechanisms for universal health coverage Her recent publications analyze the EU's role as a political determinant of global health, the Dutch duty of care standard for pharmaceutical companies, and pandemic treaty proposals. She advocates for transparent medicines pricing and equitable access to health technologies, often engaging with international organizations like the WHO and WTO. No scientific awards or ancillary activities are explicitly listed in the provided texts. Her work bridges legal scholarship with public health practice, addressing structural inequities in healthcare systems worldwide.

Stephanie Switzerمشاهده پروفایل

دانشیار

• Public International Law
• Global Health Law
• World Trade Organization Law
• +۳ مورد دیگر

Dr. Stephanie Switzer is an Associate Professor at the Strathclyde Law School, University of Strathclyde, where she serves as Director of Education and contributes to the Strathclyde Centre for Environmental Law and Governance. As a co-investigator in the UKRI-funded One Ocean Hub, she bridges academic research with policy development through collaborations with the Scottish Government, European Commission, Convention on Biological Diversity, and Food and Agriculture Organisation. Education: LLB (Hons), Queen's University Belfast PhD, University College Dublin PG Cert LTHE Member of the Higher Education Academy Her research pioneers intersections between global health law and environmental governance, with focus on regime interactions in international law. She examines special and differential treatment mechanisms within WTO frameworks while advancing sustainable development through UN SDG-aligned scholarship. Current work critically analyzes pandemic treaty negotiations and pathogen access frameworks. Recent publications demonstrate her leadership in adapting international legal instruments to contemporary health crises, particularly through analysis of WHO International Health Regulations amendments. Her scholarship consistently addresses real-world implementation gaps in transnational legal regimes. Scientific Awards: Outstanding Paper award - Journal of International Trade Law and Policy (2018) Dr. Switzer secures major research funding including the ESRC project 'What can International Disaster Law Learn from Global Health Responses?' and the SUII initiative on public sector data governance. She actively supervises postgraduate researchers while leading curriculum development as Member of the Law Society of Scotland's Education and Training subcommittee. She drives collaborative research through the Strathclyde Centre for Environmental Law and Governance and the international One Ocean Hub network, fostering cross-institutional partnerships on ocean governance and health law synergies.

Scott Richard Floydمشاهده پروفایل

دانشیار

• Radiation Oncology
• Brain Tumor Research
• DNA Damage Response
• +۷ مورد دیگر

Scott Richard Floyd is the Gary Hock and Lyn Proctor Associate Professor of Radiation Oncology at Duke University School of Medicine, with secondary appointments as Associate Professor of Radiation Oncology and Assistant Research Professor in Pharmacology and Cancer Biology. He is also a Member of the Duke Cancer Institute and serves as Associate Radiation Director of the Duke Center for Brain and Spine Metastasis and Associate Program Director of the Duke Radiation Oncology Residency Program. Dr. Floyd received his M.D. and Ph.D. from Yale University in 2002. His professional training includes: Internship in Internal Medicine at Hospital of Saint Raphael (2002-2003) Residency in Radiation Oncology at Harvard Medical School, Harvard Radiation Oncology Program (2003-2007) Clinical Investigator position at MIT Koch Institute for Integrative Cancer Research (2012-) Dr. Floyd's research focuses on DNA damage signaling and repair in brain tumor cells, particularly investigating how chromatin changes mediated by epigenetic modifiers affect the DNA damage response (DDR). His lab develops small animal irradiation techniques and mouse models of glioblastoma to test the effects of epigenetic writers and readers on DDR in clinically relevant model systems. He aims to identify strategies to enhance tumor cell killing while protecting normal brain tissues from radiation damage. His work on brain slice models provides a platform for studying stroke, Alzheimer's disease, Huntington's disease, and brain tumors while reducing animal use. Analysis of Dr. Floyd's recent publications reveals a strong focus on brain metastases, radiation necrosis, and the application of artificial intelligence in radiation oncology. His work increasingly integrates radiogenomics, machine learning, and novel radiation techniques to improve outcomes for patients with brain tumors. There's a clear trend toward interdisciplinary collaboration, particularly in combining radiation therapy with immunotherapy and targeted agents, as evidenced by his leadership in the Consortium for Intracranial Metastasis Academic Research (CIMARa). Dr. Floyd has secured significant research funding, including: NEUROD1 function in SCLC fate and plasticity (NIH, 2024-2029) Synthetic lethality with BET bromodomain inhibition (American Cancer Society, 2025-2026) ASPET SURF Institutional Award (2018-2028) Multiple NIH R01 grants supporting his research on DNA damage response and brain tumor biology Dr. Floyd leads the Floyd Lab, which focuses on studying mechanisms of DNA damage signaling and repair in brain tumor and other mammalian cells. His lab utilizes advanced techniques including small animal irradiation, mouse models of glioblastoma, and organotypic brain slice culture platforms. He is also involved in Project Brainslice, which develops experimental model systems using brain slices to research new treatments for brain diseases. His clinical expertise centers on the treatment of benign, primary, and metastatic tumors of the brain and spine, making him a key figure in Duke's brain and spine metastasis program.

Eileen M. Barryمشاهده پروفایل

استاد

• Vaccine Development
• Enteric Pathogens
• Shigella
• +۵ مورد دیگر

Eileen M. Barry serves as Professor in the Department of Medicine at the University of Maryland School of Medicine, with secondary appointments in Medical and Research Technology and Microbiology and Immunology. She directs education for the Center of Vaccine Development & Global Health, leading research on vaccines against enteric pathogens and biodefense threats. Her academic background includes: B.A. in Biology from University of Delaware (1985) Ph.D. in Microbiology and Immunology from Virginia Commonwealth University Medical College of Virginia (1991) Postdoctoral Fellowship at University of Maryland School of Medicine Center for Vaccine Development (1992-1994) Postdoctoral Fellowship at University of Maryland School of Medicine Center for Vaccine Development (1994-1996) Dr. Barry's research focuses on oral live attenuated vaccines targeting Shigella , enterotoxigenic E. coli (ETEC), and Francisella tularensis . Her work spans pathogen engineering, host-pathogen interactions, and clinical translation, with emphasis on pediatric and military applications. Key methodologies include human enteroid models, BSL3/ABSL3 pathogenesis studies, and immunogenicity assessment. Recent publications reveal a strategic shift toward multivalent platforms and advanced organoid systems for predicting human immune responses. Her scientific recognition includes: University System of Maryland PROMISE Alliance Outstanding Faculty Mentor (2015) Faculty Teacher of the Year Award (2011) Teaching Commendation in Host Defenses (2009/2012) As a dedicated mentor, Dr. Barry has served on Graduate Student Admissions Committees since 2007 and received special recognition for advancing underrepresented STEM students. Her substantial NIH funding portfolio includes: P01AI125181: Pathogenesis of E. Coli and Shigella in Human Enteroid Models (2016-2021) R01AI125841: Serological Assays for Shigella Vaccine Efficacy (2016-2021) R01AI123129: Tularemia Vaccine Protection Correlates (2016-2021) Her laboratory operates BSL2/3 and ABSL2/3 facilities, integrating genetic engineering, organoid models, and genomics to dissect enteric pathogenesis and accelerate vaccine development for global health impact.

Maura R. Grossmanمشاهده پروفایل

استاد پژوهشی

• High-Recall Information Retrieval
• AI Ethics
• Electronic Discovery
• +۳ مورد دیگر

Maura R. Grossman is a Research Professor at the University of Waterloo, specializing in High-Recall Information Retrieval, AI ethics, and legal technology. Her work focuses on ensuring comprehensive information retrieval in high-stakes contexts like electronic discovery in law, healthcare data curation, and medical evidence synthesis. She explores the intersection of artificial intelligence and legal systems, particularly addressing challenges posed by AI-generated evidence and deepfakes in judicial processes. Education: J.D. (Georgetown University Law Center, 1999), Ph.D. (Adelphi University, 1984), M.A. (Adelphi University, 1982), A.B. (Brown University, 1980). Research interests include AI accountability in courts, responsible data science practices, and improving electronic discovery methodologies. Recent work analyzes AI’s role in legal proceedings, ethical AI frameworks, and healthcare data governance. Her publications emphasize validating technology-assisted review (TAR) systems and evaluating generative AI impacts on marginalized communities. Her articles highlight trends in AI’s legal implications, healthcare data sharing protocols, and the need for transparent algorithmic systems in justice contexts. She contributes to TREC tracks, advancing high-recall retrieval techniques for legal and medical document analysis. Notable projects include developing frameworks for unbiased health data sharing and analyzing AI’s effects on marginalized writers. Her work underscores interdisciplinary collaboration between law, computer science, and healthcare to address emerging technological challenges.

Richard Brownمشاهده پروفایل

استاد

• Organic Synthesis
• Total Synthesis of Natural Products
• Asymmetric Synthesis
• +۳ مورد دیگر

Professor Richard Brown is a Professor of Organic Chemistry at the University of Southampton, affiliated with the School of Chemistry. He holds a PhD from the University of Southampton (1994) and has held a Royal Society University Research Fellowship (1996–present). His research focuses on organic synthesis, total synthesis of natural products, asymmetric synthesis, and organic electrosynthesis. He leads projects on electrosynthesis in microfluidic systems and novel drug development. Key research interests include the synthesis of biologically active natural products and the development of sustainable electrochemical methodologies. His work spans from fundamental reaction mechanisms to industrial applications, including collaborations with companies like Eli Lilly. Awards include the Royal Society Fellowship, and he has supervised numerous interdisciplinary projects funded by EPSRC and EU initiatives. Recent publications highlight advancements in electrosynthetic strategies, including radical crossover sequences and photocatalytic processes. His lab participates in collaborative networks such as the Interreg European programs, fostering international student exchanges and joint research ventures. Current projects explore aging dynamics in power transformers and hyperpolarized nuclear spin technologies.

Rich Whittleمشاهده پروفایل

استادیار

• Human-Systems Engineering
• Space Physiology
• Aerospace Biomechanics
• +۴ مورد دیگر

Dr. Rich Whittle is an Assistant Professor in Mechanical and Aerospace Engineering at the University of California, Davis, leading the Bioastronautics and eXploration Systems (BXS) Laboratory within the Center for Space Flight Research (CSFR). His work focuses on understanding human physiological responses to space environments and developing technologies to enhance spaceflight safety and efficiency. Education: PhD in Aerospace Engineering, Texas A&M University MSc in Astronautics and Space Engineering, Cranfield University PGDip in Strategic Management and Leadership, Stratford Business School MA/MEng in Engineering, University of Cambridge Research interests include space physiology, human-systems engineering, and exploration systems design. Key themes involve cardiovascular responses to gravity, virtual reality applications for astronaut training, and countermeasures for long-duration missions. His lab investigates ocular perfusion, metabolic modeling in altered gravity, and lunar habitat safety concepts. Recent publications analyze ocular pressure dynamics, gravitational stress impacts on cardiovascular systems, and virtual reality's role in mission resilience. His work bridges clinical data, engineering systems, and mission-critical design. Awards: Fellow of the British Interplanetary Society (BIS) Advising and grants: While specific student names are unlisted, his lab actively collaborates on NASA-funded projects. Research focuses include military recruit injury prevention and pandemic epidemiology modeling (e.g., NYC's 2020 data). Dr. Whittle leads the BXS Lab and contributes to the CSFR, fostering interdisciplinary teams in space systems engineering and human factors. His prior military service (2009–2023) as a British Army officer informs his focus on operational readiness and mission-critical decision-making in extreme environments.