Work with thought leaders and academic experts from University of Rochester

Ulascan Sarica

Postdoctoral researcher at University of California at Santa Barbara and Fermilab LPC Junior Distinguished Researcher
Education

Johns Hopkins University

Ph. D., Physics and Astronomy / December, 2018

Baltimore, Maryland, United States of America

University of Rochester

B.S., Physics / May, 2013

Rochester, New York, United States of America
Research Expertise
Experimental particle physics
Nuclear and High Energy Physics
Instrumentation
Mathematical Physics
About
I am currently a postdoctoral researcher at the UC Santa Barbara Department of Physics and a Fermilab LHC Physics Center Junior Distinguished Researcher. <br> Since 2013, I have been conducting cutting-edge research in the CMS experiment at CERN, utilizing one of the largest and most complex particle detectors in the world. As part of this international collaboration, I have contributed to the measurements of Higgs boson properties, searches for new physics, the development of simulation and analysis software, the alignment of the CMS tracker, and the design of the MIP Timing Detector. In addition to having co-authored multiple publications in prestigious particle physics journals, I am also one of the lead-developers of the JHUGen Monte Carlo event generator and matrix element library package, used widely in Higgs boson properties analyses at the LHC. Please kindly see https://spin.pha.jhu.edu if you are interested to learn more about its capabilities. I also have interesting ideas for particle detector instrumentation to solve challenges in quantum error correction used in quantum computing. You may find a discussion of these ideas in my recent paper on the Journal of Instrumentation (postprint: https://arxiv.org/abs/2310.00577). I am also working with colleagues at Fermilab to reduce neural network complexity in error decoding applications. I have a strong background in physics, mathematics, statistics, and advanced computer programming. I have a PhD in Physics from The Johns Hopkins University, and two BS degrees in Physics and in Molecular Genetics from the University of Rochester. I also have extensive experience in particle detector design, deep learning, and heterogeneous computing, including distributed computing and GPU acceleration. I am passionate about advancing our understanding of the fundamental nature of the universe and applying my skills to solve challenging and meaningful problems.

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Michael Grandner

Tucson, Arizona, United States of America
Dr. Michael Grandner - Expert in Sleep and Health Research
Education

University of Pennsylvania

Masters in Translational Research, Translational Research / June, 2014

UC San Diego

PhD, Clinical Psychology / December, 2007

San Diego State University

MS, Clinical Psychology / December, 2005

University of Rochester

BA, Clinical and Social Sciences in Psychology / December, 2001

University of Rochester

BA, Clinical and Social Sciences in Psychology / 2001

San Diego State University

MS, Clinical Psychology / 2005

San Diego State University / University of California, San Diego

PhD, Clinical Psychology / 2007

San Diego Veterans Affairs Healthcare System

Clinical Psychology Internship / 2007

University of Pennsylvania

Postdoctoral Fellowships / 2011

American Board of Sleep Medicine

Board Certification in Behavioral Sleep Medicine / 2014

University of Pennsylvania

Masters in Translational Research / 2014

Eureka Institute for Translational Medicine

Certificate in Translational Medicine / 2016

Board of Behavioral Sleep Medicine

Diplomate in Behavioral Sleep Medicine / 2018

University of Arizona

PhD, Psychology / 2010

University of Arizona

MA, Psychology / 2007

University of Arizona

BA, Psychology / 2005

University of Arizona

MS, Psychology / 2006

University of Arizona

BA, Psychology / 2004

About
Dr. Grandner is a licensed Clinical Psychologist certified in Behavioral Sleep Medicine, Director of the Sleep and Health Research Program, and Associate Professor of Psychiatry, Psychology, Medicine, Nutritional Sciences, and Clinical Translational Science at the University of Arizona. His clinical work focuses on non-medication treatments for sleep disorders. His research examines the relationship between sleep and obesity, diabetes, heart disease, daytime functioning, and longevity. His work has received awards from the Sleep Research Society, American Academy of Sleep Medicine, American Heart Association, and other organizations. He is author or co-author on over 300 academic publications. He has served on grant review panels for the Department of Defense and the National Institutes of Health, both the mental health and sleep and wellness task force for the NCAA, and the mental health consensus committee for the International Olympic Committee. He is a frequent consultant and speaker on the issue of sleep health and  has been invited multiple times to the US Congress to discuss the role of sleep in health and functioning. Dr. Grandner’s work has been featured in television, radio, and print media, in over 50 countries. Learn more about his work at michaelgrandner.com. <br>

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Wesley Chiang, Ph.D.

Postdoc, University of Rochester
Education

University of Rochester

Ph.D., Biophysics / March, 2024

Rochester, New York, United States of America

University of Rochester

M.S., Optics / May, 2019

Rochester, New York, United States of America

University of California, Irvine

B.S., Biomedical Engineering & Materials Science / June, 2017

Irvine, California, United States of America
Experience

University of Rochester

Postdoctoral Associate / January, 2024Present

Dept of Chemistry & Center for Neurotherapeutic Discovery

Research Expertise
biophysics
quantum dots
neuroimmunology
biomimetics
About
Wesley Chiang, Ph.D. is a highly skilled and dedicated scientist with a strong background in biophysics, optics, materials science, and neuroimmunology. Throughout his academic career, Wesley has been actively involved in research projects focused on developing novel imaging techniques in combination with hybrid nano-bio assemblies to mimic biological assemblies to study immunologic drivers of neuroinflammation in Alzheimer's Disease, Parkinson's, and NeuroCOVID. His skillset spans across a diverse scope of techniques from high-content to super-resolution microscopy; synthesis, functional modification, and characterization of semiconductor nanocrystals (i.e. quantum dots); development of multi-cellular and mouse models for neurologic diseases; and molecular biological techniques such as RT-qPCR, RNA-seq, and quantitative proteomics. He obtained his Bachelor of Science degree in Biomedical Engineering and Materials Science from the University of California, Irvine in 2017. He then pursued a Master of Science degree in Optics from the University of Rochester, which he completed in 2019, followed by a Ph.D. in Biophysics at the University of Rochester.

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Eric Henry

Very experienced theoretical, computational and experimental researcher in basic and applied science
Education

Princeton University

Ph.D., Physics / September, 1980

Princeton, New Jersey, United States of America

University of Rochester

B.S., Physics / May, 1976

Rochester, New York, United States of America

University of Rochester

B.A., Applied Mathematics / May, 1976

Rochester, New York, United States of America
Research Expertise
biological physics
image processing
machine learning
Structural Biology
Biophysics
And 16 more
About
Dr. Eric Henry is a highly experienced physicist, with a strong background in both theoretical and applied quantitative disciplines. He earned his B.S. in Physics from the University of Rochester in 1976, as well as a B.A. in Applied Mathematics from the same institution. He then went on to earn his Ph.D. in Physics from Princeton University in 1980. After completing his education, Dr. Henry began his career as a research physicist at the National Institutes of Health. During his time there, he made significant contributions to the field of biophysics and published a number of papers in top scientific journals. In 2021 Dr. Henry joined IDEX Biometrics, a leading company in biometric technology. Until 2024 he held the position of Distinguished Engineer, where he used his expertise to develop and improve biometric solutions for secure identification and authentication. In 2024 he rejoined the National Institutes of Health as a research physicist, continuing his previous work there. Throughout his career, Dr. Henry has been recognized for his outstanding contributions to the field of biophysics. In addition to his professional accomplishments, Dr. Henry is also dedicated to mentoring and educating the next generation of scientists. Dr. Henry has demonstrated a great deal of resourcefulness and dedication to whatever field he conducts research in. He continues to push the boundaries of knowledge and make valuable contributions to the scientific community.

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Lawrence A. Klein, Ph.D.

Southern California
Sensor and Data Fusion
Education

City College of New York

B.E.E., Electrical engineering / January, 1963

New York, New York, United States of America

University of Rochester

M.S., Bio-medical engineering / June, 1966

Rochester, New York, United States of America

New York University

Ph.D., Electrophysics, electrical engineering, plasma physics / June, 1973

New York, New York, United States of America
Research Expertise
Mechanical Engineering
Computer Science Applications
Automotive Engineering
Aerospace Engineering
Industrial and Manufacturing Engineering
And 6 more
About
**Lawrence A. Klein** received a Bachelor of Electrical Engineering degree from the City College of New York in 1963, an M.S. in Electrical Engineering from the University of Rochester in 1966, and a Ph.D. in Electrical Engineering from New York University in 1973. Dr. Klein is a member of the National Cooperative Highway Research Program (NCHRP) 03-145 Panel to develop guidance for the National Traffic Sensor System Evaluation Program and the 08-157 Panel to determine Best Practices for Data Fusion of Probe and Point Detector Data. He is a past member of the Transportation Research Board’s Highway Traffic Monitoring and Freeway Operations Committees. He led ASTM’s E17 Group V-ITS in developing worldwide standards to specify, install, and evaluate traffic flow sensors. At the French Institute of Science and Technology in Transportation, Planning, and Networks (IFSTTAR) in Bron, France, Dr. Klein lectured at EPFL-LAVOC (Swiss Laboratory of Traffic Facilities at Lausanne Federal Institute of Technology) in Lausanne, Switzerland, and at the EU-sponsored Real-Time Road Traffic Monitoring and Control Summer Workshop. He was also a Visiting Professor at the Harbin Institute of Technology, School of Transportation Engineering and Science, Harbin, China for several years. At Waveband Corporation he served as Director of Advanced Technology Programs. While at Hughes Aircraft Company, he was Principal Investigator on the FHWA Detection Technology for IVHS (later ITS) Program. As Chief Scientist at Aerojet ElectroSystems (TAMS Division), he was responsible for programs that integrated active and passive millimeter-wave and infrared multispectral sensors in satellites and smart "fire-and-forget" weapons. At Honeywell, he developed passive millimeter-wave midcourse missile guidance systems and millimeter-wave sensors to trigger land mines. His books include *Traffic Flow Sensors:* *Technologies, Operating Principles, and Archetypes* (2020), *Sensor and Data Fusion for Intelligent Transportation Systems* (2019), *ITS Sensors and Architectures for Traffic Management and Connected Vehicles* (2018), *Sensor and Data Fusion: A Tool for Information Assessment and Decision Making* (2004, 2012), *Traffic Detector Handbook, 3rd Ed.* (2006), *Sensor Technologies and Data Requirements for ITS* (2001), and *Millimeter-Wave and Infrared Multi-sensor Design and Signal Processing* (1997).

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William Federspiel

Very knowledgeable in the area of biomedical transport phenomena in fluid mechanics, especially as applied to medical devices.
Education

University of Rochester

About
Design and development of novel artificial lung devices, including respiratory support catheters and paracorporeal assist lungs, for near term clinical use in the treatment of respiratory failure in patients with acute or acute on chronic lung insufficiencies, Design and development of membrane and particle based blood purification devices for the selective or semi-selective and patterned removal of pathogenic antibodies, inflammatory mediators, and other blood borne solutes for near term clinical use in critical care settings, Advancing the development of novel artificial lung platforms for future applications by combining microfabrication and fiber technology with cellular and biomolecular components to create biohybrid artificial alveolar capillary units and bioactive hollow fibers with improved gas exchange efficiency and capacity, Developing improved transport models and understanding of polymer degradation and drug delivery from nanoparticles and microparticles, Advanced application of fluid mechanics and mass transport principles to model and optimize artificial lungs and other membrane-based medical devices where functional performance depends on underlying transport or separation principles that dictate the device characteristics, Development of mathematical and computer simulation models related to respiratory and cardiovascular fluid mechanics and mass transport, Development of oxygen depletion devices for blood storage systems that will extend the shelf life of red cell units and deliver red cells of higher efficacy and lower toxicity for transfusion therapy

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