Michel M. Maharbiz is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He leads research on miniaturized bioelectronic interfaces, including neural dust implants and cyborg insects. He holds affiliations with the Berkeley Sensor & Actuator Center (BSAC), Center for Neural Engineering & Prostheses (CNEP), and SWARM Lab. His education includes a Ph.D. in EECS from UC Berkeley (2003) and a B.S. in EE from Cornell University (1997). Maharbiz's research integrates MEMS, ultrasonic systems, and synthetic biology to develop wireless neural interfaces, implantable sensors, and biohybrid devices. Key focus areas are neural dust technology for peripheral nerve recording, magnetoelastic strain sensors for medical applications, and electrochemical biosensing using bacterial flagellar motors. His publications emphasize neural interfaces, ultrasonic implants, and biomedical monitoring. Recent articles explore ultrasonic power delivery (2025), radiation detectors for oncology (2025), and fracture-healing smart plates (2019). Trends include miniaturization of wireless implants, closed-loop therapeutic systems, and novel biomaterials. Scientific Awards: McKnight Technological Innovations in Neuroscience Award (2017) Chan-Zuckerberg Biohub Investigator (2017) NSF CAREER Award (2009) MIT TR10 Top Emerging Technology (2009) Bakar Fellows Spark Award (2012) He directs the Maharbiz Lab, advancing neural dust and bioelectronic interfaces. Projects include impedance-based fracture monitoring, carbon fiber neural arrays, and hernia repair sensors. Funding includes NSF and industry partnerships for implantable device development.
Vadim Cherezov, the Ester Dornsife Chair in Biological Sciences and Professor at the University of Southern California (USC), leads groundbreaking research in membrane protein structure and function. Affiliated with the Bridge Institute, Department of Chemistry, and Michelson Center for Convergent Bioscience, his work focuses on GPCRs, ion channels, and transporters—critical targets for drug discovery. His team leverages advanced techniques like Lipidic Cubic Phase (LCP) and Serial Femtosecond Crystallography (SFX) at XFEL facilities to solve high-resolution structures under physiological conditions. Institutional Affiliations: Bridge Institute, USC Michelson Center, Department of Chemistry, Department of Pharmacology and Pharmaceutical Sciences. Key Collaborations: Katritch Lab, Kuhn Lab, NIH, European XFEL. His research explores the role of lipids in modulating GPCR function, addressing diseases like Alzheimer’s, diabetes, and cancer. By solving the structure of the A 2A adenosine receptor via sulfur SAD phasing at XFEL, Cherezov’s lab demonstrated de novo phasing without heavy atoms. This breakthrough enables structural studies of previously intractable membrane proteins. Scientific Awards & Grants: NIH R01 GM108635, U54 GM094618, U54 GM094599, R01 GM095583 Science Signaling Breakthroughs of the Year (2014) Cherezov mentors a dynamic team, including postdocs (e.g., Dong-Gyun Kim), graduate students (e.g., Behnaz Davoudinasab), and alumni (e.g., Benjamin Stauch at Eli Lilly, Nairie Michaelian at Genentech). His lab’s publications span Nature , Science , and Cell , with recent work on Science Advances (2025) addressing ABEL-FRET for GPCR dynamics.
Carmen Bergom, MD, PhD, is an Associate Professor of Radiation Oncology at Washington University School of Medicine (WashU Medicine), where she joined the faculty in 2020. She holds secondary appointments in the Division of Cancer Biology and the Siteman Cancer Center. Her research focuses on leveraging genetic models to improve radiation therapy efficacy while mitigating radiation-induced cardiotoxicity , particularly in breast cancer patients. Key areas include radiation biology , tumor microenvironment , and cardio-oncology . Recent publications highlight her work in genetic mapping of radiation sensitivity (e.g., rat chromosome 3 variants), innovative imaging techniques (e.g., integrin-targeted PET), and clinical trial design for cardiovascular risk stratification. Her laboratory has pioneered the first genetic studies of radiation-induced cardiac dysfunction. Scientific awards include the Michael Fry Research Award (2021) and recognition as a Top Doctor in America (2018, 2019). She serves as Chair of the ASTRO Science Council Scientific Review Panel and co-chair of the Clinical and Experimental Research in Radiation Oncology meeting at ESTRO. Dr. Bergom treats breast cancer patients clinically and mentors students across all levels (undergraduate to postdoctoral). Her work bridges basic research with clinical applications , aiming to develop biomarkers and therapeutic targets for radiation oncology.
Theodore Lawrence is a Professor and Clinician in the Department of Radiation Oncology at the University of Michigan. He previously served as Chair of the department for over 25 years before stepping down, while continuing his clinical practice. Dr. Lawrence holds both MD and PhD degrees and is triple board-certified in internal medicine, medical oncology, and radiation oncology. His primary research focuses on radiation oncology applications, with specialized expertise in: Gastrointestinal malignancies treatment Central nervous system tumor therapies Clinical oncology practice optimization Translational cancer research Dr. Lawrence has received numerous prestigious honors including: Gold Medals from ASTRO and Israeli Society of Clinical Oncology ASCO Statesman Award RSNA Outstanding Researcher Award Election to the National Academy of Medicine Election to the Association of American Physicians His extensive leadership contributions include serving as President of ASTRO, the Radiation Oncology Institute, and SCAROP; Chair of NCI's Board of Scientific Councilors; and founding chair of AACR's Radiation Sciences working group.
John Ford is an Associate Professor in the Department of Nuclear Engineering at Texas A&M University. His research focuses on radiobiology, radiation carcinogenesis, and medical applications of radiation. He holds academic appointments within the College of Engineering and contributes to the Health Physics, Radiation Biology & Medical Physics research group. Education includes a B.S. and M.S. in Nuclear Engineering from Mississippi State University (1982, 1986), a Ph.D. in Biomedical Sciences from the University of Tennessee (1992), and postdoctoral training at Oak Ridge National Laboratory (1992–1993). His work emphasizes understanding radiation effects on biological systems, with notable contributions to radiation dosimetry, bystander signaling mechanisms, and dietary modulation of radiation damage. Recent studies explore space radiation monitoring technologies and therapeutic applications of radiation. Awards include the BP Award for Teaching Excellence (2007) and ARRO Educator of the Year (2013–2014). Research spans interdisciplinary areas such as radiation-induced cancer mechanisms, nutritional interventions to mitigate radiation effects, and advanced radiation detection instrumentation. He has advised numerous projects in radiation safety curriculum development and collaborated on NASA-funded studies modeling radiation impacts on astronauts.
Chi Liu is a Professor of Radiology & Biomedical Imaging at Yale School of Medicine . He serves as Associate Director of Biomedical Imaging Technology at the Yale Biomedical Imaging Institute and Director for Research Faculty Affairs in the Radiology & Biomedical Imaging department. Education : PhD from Johns Hopkins University (2008) Postdoctoral Training : University of Washington (2010) Certification : American Board of Science in Nuclear Medicine (Nuclear Medicine Physics and Instrumentation) His research focuses on quantitative cardiac and oncological PET/CT and SPECT/CT imaging , emphasizing deep learning algorithms , reconstruction algorithms , data correction , and dynamic imaging . Key clinical applications include early detection of chemotherapy-induced cardiotoxicity , multimodality imaging of heart failure , and motion variability elimination in therapy response assessment . The 15 most recent publications reveal a strong emphasis on deep learning techniques for low-dose imaging , motion correction , and cross-tracer generalizability in PET/SPECT systems. These works span applications in cardiac imaging , neuroscience , oncology , and theranostics . Scientific Award : Bruce Hasegawa Young Investigator Medical Imaging Science Award (2012) Contact: chi.liu@yale.edu | ORCID 0000-0002-7007-1037
Zion Zibly, MD, MBA is an Associate Professor in the Department of Neurosurgery at Yale School of Medicine . He holds multiple leadership roles including Director of the Center of Neuromodulation , Director of the Center of Neurosurgical Cancer Pain , and Head of Stereotactic & Functional Neurosurgery and the Focused Ultrasound Institute . Previously served as Chair of Neurosurgery at Sheba Medical Center after graduating from Technion’s Faculty of Medicine (MD) and Coller School of Management (MBA). Research Interests: Specializes in Neuromodulation for movement disorders (Parkinson’s, tremors, dystonia), Deep Brain Stimulation , Gene Therapy for pediatric neurodegenerative conditions, Oncological Neurosurgery , and Neurological Pain Management . Combines Functional Neurosurgery with Focused Ultrasound technology. Scientific Contributions: Participated in pioneering Alzheimer’s brain stimulator procedures and Gene Therapy applications. Active member of the North American Association of Functional Neurosurgery and Israeli Neurosurgical Society . Clinical Expertise: Implantation of electrostimulators for Parkinson’s and essential tremor, treatment of Benign/Malignant CNS Tumors , and management of Neurological Pain Conditions . Affiliated with Yale Cancer Center and Center for Brain & Mind Health .
Yu He is an Assistant Professor of Applied Physics and Physics at Yale University, affiliated with the Department of Physics. His research focuses on condensed matter physics and experimental techniques such as angle-resolved photoemission spectroscopy (ARPES) and x-ray scattering to study correlated electronic systems and quantum materials. Prior to Yale, he completed a Miller Research Fellowship at UC Berkeley (2019) after earning his Ph.D. in Applied Physics from Stanford University. Key research areas include metal-to-insulator transitions, superconductivity, 2D magnetism, and solid-state quantum simulation. He has contributed to advancements in material characterization techniques, including high-resolution ARPES using tabletop lasers. His work integrates crystal synthesis, electric transport measurements, and surface decoration to explore material properties. Education: B.S. in Physics from University of Science and Technology of China (USTC); M.S. in Electrical Engineering and Ph.D. in Applied Physics from Stanford University. Research Interests: Experimental condensed matter physics, quantum materials, superconductivity, and light-matter interaction studies. His current projects aim to dissect microscopic degrees of freedom (electronic, lattice, spin) in novel materials using cutting-edge spectroscopic methods. The lab employs complementary techniques like electric transport measurements and crystal growth to characterize material properties comprehensively. Awards: Miller Research Fellow, UC Berkeley (2019) Advising & Grants: No student advisees listed. Research supported by Yale University and prior fellowships. Labs & Teams: Leads a research group at Yale focused on experimental condensed matter physics, collaborating on projects involving advanced material characterization and quantum material discovery.
Dr. Craig S. Levin is a Professor of Radiology at Stanford University's Molecular Imaging Program at Stanford (Nuclear Medicine), with courtesy appointments in Physics, Electrical Engineering, and Bioengineering. He also holds memberships in Bio-X, the Cardiovascular Institute, the Wu Tsai Human Performance Alliance, and the Stanford Cancer Institute. Dr. Levin received his B.S. Summa Cum Laude in Physics and Mathematics from UCLA in 1985, followed by M.S., M.Phil., and Ph.D. degrees in Physics from Yale University in 1987 and 1993. His educational achievements were recognized with multiple honors including Phi Beta Kappa, Sigma Pi Sigma, and various departmental awards at UCLA. Dr. Levin's research focuses on the development of novel instrumentation and software algorithms for molecular imaging. His work spans medical physics, biomedical engineering, and instrumentation development with specific emphasis on positron emission tomography (PET), gamma camera technology, and multimodal imaging systems. His laboratory explores new concepts in radiation detection, image reconstruction algorithms, and the application of these technologies to cancer, heart disease, and neurological disorders. A notable aspect of his research involves pushing the physical limits of sensitivity and spatial, spectral, and/or temporal resolutions in imaging systems. His recent publications demonstrate a strong focus on enhancing PET technology, particularly time-of-flight capabilities, with significant work on improving coincidence timing resolution, developing MR-compatible PET systems, and applying deep learning techniques to image reconstruction and normalization. His research shows a clear trajectory toward higher resolution imaging with improved quantitative accuracy for both clinical and preclinical applications. Dr. Levin's scientific achievements have been recognized with numerous awards: American Institute for Medical and Biological Engineering's College of Fellows Academy of Radiology Research Distinguished Investigator Recognition Award National Research Service Award from NIH (1993-5) Pilot Research Award from the Society of Nuclear Medicine (1996) Multiple honors from UCLA including Phi Beta Kappa and Sigma Pi Sigma Full Tuition and Research Fellowship and Bates Graduate Fellowship from Yale University As an educator and mentor, Dr. Levin directs the NIH-NCI funded T32 Stanford Molecular Imaging Scholars postdoctoral training program and serves as a Doctoral Dissertation Advisor for students in Bioengineering and Biophysics. He currently advises five postdoctoral scholars and three doctoral candidates. His laboratory, the Molecular Imaging Instrumentation Laboratory, comprises approximately 20 members who work on developing new imaging technologies and translating them into clinical applications. Dr. Levin has secured substantial NIH funding as Principal Investigator along with grants from other government agencies, industry partners, and private institutions to support his research program. Dr. Levin's Molecular Imaging Instrumentation Laboratory is at the forefront of developing new imaging technologies that bridge physics, engineering, and medicine. The lab focuses on creating instrumentation for in vivo imaging of cellular and molecular signatures of disease, with particular emphasis on pushing the physical limits of imaging performance. Their work spans computer modeling, sensor development, electronics design, data acquisition systems, and advanced image processing algorithms. The lab maintains strong industry partnerships to translate their innovations into products used for patient care worldwide.
Pedro A Hermida de Viveiros, MD serves as an Assistant Professor in the Department of Medicine, Division of Hematology and Oncology at Northwestern University's Feinberg School of Medicine. His clinical practice focuses on solid tumor oncology with specialized expertise in sarcomas and precision medicine approaches. His research interests center on clinical development of novel therapeutic strategies for sarcomas and gastrointestinal stromal tumors (GIST), emphasizing biomarker-driven treatments and molecularly targeted therapies. Key areas include IDH1-mutant chondrosarcoma management, neoadjuvant response assessment in sarcomas, and immunotherapy-radiotherapy combinations for metastatic disease. Analysis of his recent publications reveals a consistent focus on translating molecular targets into clinical applications, particularly through phase 1-3 trials of targeted agents like ivosidenib and IDRX-42. His work bridges radiological assessment, pathological response, and precision oncology frameworks for rare solid tumors. Professional engagements include active membership in major oncology societies: American Society of Clinical Oncology (ASCO) Connective Tissue Oncology Society (CTOS) Sociedade Brasileira de Oncologia Clínica (SBOC) European Society for Medical Oncology (ESMO) He currently leads four active clinical trials through the Robert H. Lurie Comprehensive Cancer Center, including the CHONQUER phase 3 study of ivosidenib for IDH1-mutant chondrosarcoma and first-in-human trials of novel agents for advanced solid tumors and GIST. His work integrates translational research with clinical trial design to advance personalized treatment paradigms.
Pingfu Fu, PhD, is a Professor in the Department of Population and Quantitative Health Sciences at Case Western Reserve University's School of Medicine. He is also a member of the Developmental Therapeutics Program at the Case Comprehensive Cancer Center. His expertise spans biostatistics, mathematics, and computer science, with a focus on cancer research and HIV/AIDS. Dr. Fu advises researchers on study design and statistical methodology for clinical and pre-clinical studies. He teaches courses in survival data analysis and clinical trials, and was recognized as 'Professor of the Year' in 2010 by the Department of Epidemiology and Biostatistics. Education: PhD in Biostatistics (Case Western Reserve University, 2001), MS in Statistics (Case Western Reserve University, 1996), MS in Mathematics (Xiangtan University, 1988), and BS in Mathematics (Jiangxi Normal University, 1984). His research interests include survival analysis, tree-based methods, clinical trials, and statistical applications in medical research. He has co-authored numerous peer-reviewed articles, focusing on cancer disparities, radiomics, and computational pathology. Professional memberships include the American Statistical Association, American Mathematical Society, and American Cancer Society. Dr. Fu holds editorial roles at Reviews on Recent Clinical Trials , Journal of Clinical Oncology , and Journal of the National Cancer Center . His work has addressed mathematical challenges in stochastic processes and resolved statistical issues in study design and tree-based models. Notable contributions include developing risk prediction models for cancer outcomes and advancing interdisciplinary collaborations across oncology, biostatistics, and computer science. His lab focuses on integrating computational methods with clinical data to improve patient outcomes.
Affiliations & Roles Professor of Computer and Information Science at University of Pennsylvania Faculty in Graduate Groups: Bioengineering (School of Engineering) Genomics & Computational Biology (School of Medicine) Operations, Information & Decisions (Wharton School) Psychology (School of Arts & Sciences) Research Affiliations: Annenberg Public Policy Center (Distinguished Fellow) Center for Cognitive Neuroscience Institute for Translational Medicine Research Interests Focuses on explainable AI, natural language processing (NLP), and machine learning applications in psychology and medicine. Key areas include: Language analysis for well-being and mental health Spectral methods for NLP (e.g., Eigenwords) Forecasting and decision-making models Bioinformatics and genomics Teaching Teaches advanced courses in Machine Learning, Deep Learning, and AI ethics, including: CIS 5200: Machine Learning CIS 5220: Deep Learning CIS 6200: Advanced Topics in Deep Learning Key Collaborations Works with interdisciplinary teams on projects like the Good Judgment Project (forecasting) and WWBP (Well-Being and Language). Collaborators include Martin Seligman (positive psychology), Dean Foster (statistics), and Michael Collins (NLP).
Professor Faye Rogers serves as Professor of Therapeutic Radiology at Yale University School of Medicine, holding multiple leadership positions including Associate Cancer Center Director for YCC Collaborative Excellence, Vice Chair for Collaborative Excellence in Therapeutic Radiology, Associate Director of the Yale MD-PhD Program, and Director of the Yale BioMed Amgen Scholars Program. Her work bridges radiation oncology, DNA repair mechanisms, and cancer therapeutics within Yale's comprehensive cancer research ecosystem. PhD from University of Maryland at Baltimore (1998) Postdoctoral Fellow at Yale School of Medicine Dr. Rogers' research focuses on the intersection of DNA repair mechanisms and cancer therapeutics, with particular expertise in triplex DNA structures, genomic instability, and targeted cancer therapies. Her work explores how DNA damage responses can be leveraged for therapeutic benefit, especially in breast neoplasms and other malignancies. Through her leadership in the DNA Damage and Genome Integrity program, she investigates novel approaches to disrupt cancer cell survival mechanisms while sparing healthy tissue. Her research has significant implications for radiation oncology, particularly in developing more precise and effective radiation-based treatments. Analysis of Dr. Rogers' publication record reveals a consistent trajectory in DNA repair mechanisms and cancer therapeutics, with increasing focus on translational applications. Her work demonstrates expertise in triplex DNA structures, RAD51 inhibition, and synthetic lethality approaches. Recent publications show a shift toward more clinically applicable research, particularly in targeting DNA repair pathways in specific cancer subtypes like IDH1-mutant cancers and PTEN-deficient glioblastomas. Her collaborative work with Peter Glazer and others demonstrates strong interdisciplinary connections between radiation oncology, molecular biology, and drug development. Leadership in Diversity, Equity & Inclusion Award (Yale School of Medicine, 2022) Translational Science Research Prize (Yale Cancer Center, 2022) Kingsley Fellowship in Medical Research Carl Storm Underrepresented Minority Fellowship NCI Research Supplement to Promote Diversity in Health-Related Research As Associate Director of the Yale MD-PhD Program and Director of the Yale BioMed Amgen Scholars Program, Dr. Rogers plays a pivotal role in mentoring the next generation of physician-scientists and supporting underrepresented minorities in biomedical research. Her leadership in collaborative excellence initiatives demonstrates commitment to fostering interdisciplinary research teams across Yale's scientific ecosystem. Through the YCC Collaborative Excellence program, she has secured significant funding for innovative cancer research that bridges basic science and clinical applications, particularly in the areas of DNA repair targeting and radiation oncology. Dr. Rogers leads research within Yale's Therapeutic Radiology department, with strong connections to the Radiobiology program and the Yale Cancer Center. Her work is integrated with the Program in Translational Biomedicine and the Yale Combined Program in the Biological and Biomedical Sciences. Through the BioMed Amgen Scholars Program, she provides critical research opportunities for undergraduate students, particularly those from underrepresented backgrounds, fostering talent in DNA repair research and cancer therapeutics.
Dan Nguyen, Ph.D., is a faculty member in the Department of Radiation Oncology at UT Southwestern Medical Center, where he is part of the Division of Medical Physics and Engineering. He is a founding member of the Medical Artificial Intelligence and Automation (MAIA) Laboratory, collaborating closely with Dr. Steve Jiang to advance AI applications in radiotherapy. His work focuses on deep learning for treatment planning, dose prediction, auto-segmentation, and adaptive radiotherapy. Ph.D. in Biomedical Physics, University of California, Los Angeles (UCLA), 2017 Mentor: Dr. Ke Sheng Faculty appointment at UT Southwestern since 2017 Dr. Nguyen’s research is centered on applying artificial intelligence to solve critical challenges in radiation oncology. His primary interests include deep learning-based dose prediction, auto-segmentation of anatomical structures, optimization of treatment plans, and real-time adaptive radiotherapy. He has pioneered work in direct aperture optimization, 4π radiotherapy, and uncertainty quantification in AI models. His research bridges the gap between AI innovation and clinical implementation, with a focus on improving plan quality, reducing planning time, and enhancing accessibility for less experienced clinicians. The most recent publications (2023–2025) demonstrate a consistent trend in developing fast, accurate, and robust deep learning models for radiotherapy. Key themes include dose prediction with transfer and meta-learning, adaptive segmentation using test-time optimization, uncertainty assessment in AI predictions, and mathematical modeling of radiotherapy-immunotherapy synergy. These works span high-impact journals in medical physics, AI, and oncology, reflecting interdisciplinary innovation. While no specific scientific awards are listed, Dr. Nguyen’s leadership in the MAIA Lab and extensive publication record in top-tier journals indicate significant recognition in the field of medical physics and AI in medicine. Dr. Nguyen has co-authored numerous studies involving mentoring and collaborative research, particularly with trainees and junior faculty in the MAIA Lab. His work is supported by institutional and likely federal funding, given the scale and scope of AI deployment studies. He has contributed to large-scale collaborative efforts such as OpenKBP-Opt, involving international teams evaluating knowledge-based planning pipelines. The MAIA Laboratory is a multi-investigator research group focused on innovating, developing, and applying artificial intelligence technologies to empower clinicians—especially those with less experience or limited resources—for improved patient care. The lab’s work spans machine learning, deep learning, reinforcement learning, and mathematical modeling in radiation oncology.
Dr. Regina Y. Baker is a Clinical Associate Professor of Surgery in the Division of Plastic and Reconstructive Surgery at the Keck School of Medicine of USC. She holds faculty positions at USC University Hospital, USC/Norris Comprehensive Cancer Center, LAC-USC Medical Center, Huntington Memorial Hospital, and Childrens Hospital of Los Angeles. Her clinical expertise spans breast reconstruction, adolescent breast surgery, body contouring, complex reconstructive surgery, and aesthetic surgery, with a focus on women’s health. She founded the Adolescent Breast Center (ABC) at Childrens Hospital of Los Angeles, addressing congenital and adolescent breast disorders, and leads burn reconstruction efforts at the Southern California Regional Burn Center. Education: MD from Keck School of Medicine, followed by plastic surgery residency at USC. Teaching: Actively involved in mentoring medical students and residents. Her research interests include surgical innovations in reconstructive procedures, wound healing, and regenerative medicine. Dr. Baker’s publications reflect her contributions to breast surgery techniques, stem cell applications, and laser technology in medicine. Awards: Recognized as one of Pasadena Magazine’s Top Doctors in 2010. She collaborates with USC bariatric surgeons to offer post-weight loss body contouring and maintains affiliations across multiple top-tier medical institutions.
