Work with thought leaders and academic experts from California Institute of Technology

Dr. Gerald Cleaver, Ph.D. Physics

Waco, Texas, United States of America
Professor of Physics, Baylor University
Education

California Institute of Technology

Ph.D. in Early Universe Cosmology and String Theory, Physics / June, 1993

Pasadena, California, United States of America

California Institute of Technology

MS, Physics / June, 1988

Pasadena, California, United States of America

Valparaiso University

BS, Mathematics

Valparaiso, Indiana, United States of America

Valparaiso University

BS, Physics

Valparaiso, Indiana, United States of America
Research Expertise
String Theory
Cosmology
Quantum Gravity
Nuclear and High Energy Physics
Astronomy and Astrophysics
And 4 more
About
Dr. Gerald B. Cleaver is a highly skilled and experienced problem solver. He especially enjoys projects simultaneously requiring large- and small-scale analysis, wherein logic meets creativity, and abstract thinking is applied to real-world situations. Cleaver is a dedicated leader with over 22 years of management experience of research groups, and is an eloquent communicator with more than 24 years of teaching experience. He directs the Early Universe Cosmology and Strings (EUCOS) division of Baylor University's Center for Astrophysics, Space Physics, and Engineering Research (CASPER) and has advised the dissertation research of 20 M.S. & Ph.D. students (13 graduated, 8 current). During his 2013 to 2022 tenure as Physics Graduate Program Director, Cleaver coordinated the graduate programs of over 100 students and managed the \~ $700K teaching assistantship budgets. Working with faculty colleagues, he doubled the physics graduate student enrollment from 25 in 2013 to the present 52. Cleaver was written over 85 peer-reviewed research journal articles and 25 conference proceedings. He has spoken at more than 70 conferences and workshops. Cleaver is co-author of one physics textbook and has authored six book chapters and an encyclopedia entry.

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Fayth Tan, Ph.D.

Pasadena, California, United States of America
Science Communicator · Biologist
Education

California Institute of Technology

Ph.D. Biology, Biology and Bioengineering / June, 2023

Pasadena, California, United States of America

University of California San Diego

B.S Marine Biology, Scripps Institution of Oceanography / June, 2018

La Jolla, California, United States of America
Experience

California Institute of Technology

Graduate Researcher / September, 2018 — June, 2023

Independent/Freelance

Science Writer / December, 2021 — Present

Write features, profiles, essay, reportage and creative non-fiction. Bylines in Nature, Electric Literature, The Xylom etc.

Schmidt Sciences

Science Writer / October, 2023 — Present

Interview and profile Schmidt Sciences AI 2050 Initiative Fellows, collectively elevating research agendas in the use, development or impacts of AI worth >$12 million

Research Expertise
Regeneration Biology
Developmental Biology
Evolutionary Biology
Molecular Biology
Physiology
And 3 more
About
Award-winning science writer and communicator with >7 years of experience as an academic biologist. Available for opportunities to consult on topics including regeneration biology, inflammation and fibrosis, aging, stem cell biology, metabolic disease, and animal physiology—or how best to communicate them to your target audience. I can also speak on effective science communication for researchers. My graduate research was in animal regeneration, using mouse models to investigate how physiology affects regenerative ability in the mouse digit tip and the neonatal mouse heart. I've published on novel methods to induce mouse digit regeneration, and analyzed the single-cell transcriptome of neonatal cardiac stem cells to identify potential developmental changes that may cause the loss of regenerative ability in older mice. As a science writer and communicator, I write about how science and technology impact and are impacted by society and culture. My work was recognized by the National Academy of Sciences in 2022, winning the Schmidt Prize for Excellence in Science Communication—an award of $20,000 that was given to 24 scientists and journalists from over 550 submissions. I've been commissioned by companies and non-profits to write about subjects from AI-powered drug discovery to the use of metaphor in neuroscience—my work doesn't shy away from niche, interdisciplinary and unexpected topics. <br> <br> <br> <br>

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Ben Bartlett

Quantum Computer Scientist at Stanford
Education

Stanford University

PhD, Applied Physics

Stanford, California, United States of America

Stanford University

MS, Electrical Engineering

Stanford, California, United States of America

California Institute of Technology

BS, Physics, Computer Science

Pasadena, California, United States of America
Research Expertise
Programmable Photonics
Photonic Computing
Quantum Information
Quantum Optics
Atomic and Molecular Physics, and Optics
And 3 more
About
Bartlett is a PhD student in applied physics at Stanford University. He also has a master's degree in electrical engineering from Stanford, and a bachelor's degree in physics and computer science from the California Institute of Technology. He has experience as an undergraduate researcher at the SLAC National Accelerator Laboratory and the European Organization for Nuclear Research.

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Nai-Chang Yeh

Pasadena, California, United States of America
Thomas W, Hogan Professor of Physics at California Institute of Technology. Research focuses on quantum materials, quantum science, nanoscience and nanotechnology.
Experience

California Institute of Technology

Thomas W. Hogan Professor of Physics / March, 2022 — Present

California Institute of Technology

Professor of Physics / June, 1997 — February, 2022

About
Nai-Chang Yeh is the Thomas W. Hogan Professor of Physics at California Institute of Technology. He earned his PhD in Physics from Massachusetts Institute of Technology in 1988, and his Bachelor of Science in Physics from National Taiwan University in 1983. Dr. Yeh’s research focuses on nanostructures and nanophysics. He has published over 300 journal articles, and his work has been recognized by numerous honors, including a Humboldt Research Award and a John Simon Guggenheim Memorial Foundation Fellowship.

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Robert Granat, Ph.D.

Ph.D. in machine learning with domain expertise in carbon measurement, Earth science, and remote sensing
Education

Ph.D., Electrical Engineering / June, 2004

Los Angeles, California, United States of America

M.S., Electrical Engineering / October, 1998

Los Angeles, California, United States of America

California Institute of Technology

B.S., Computation and Neural Systems / April, 1996

Pasadena, California, United States of America
Research Expertise
Remote Sensing
Machine Learning
GHG Measurement
Geodesy
Atmospheric Science
And 25 more
About
Robert Granat, Ph.D. is a highly accomplished machine learning and remote sensing expert with extensive experience in research and development. He received his Ph.D. in Electrical Engineering in 2004 and his M.S. in Electrical Engineering in 1998. He has held various leadership positions in both academia and the private sector, including CTO and Head of Science at CarbonSpace Ltd, a company focused on developing novel methods for carbon measurement using satellite observations. Dr. Granat's expertise lies in the fields of machine learning, Earth science, and remote sensing technologies. He has a strong background in developing algorithms and software systems for remote sensing measurement technologies and data analysis. His work has been instrumental in advancing the understanding of climate change and its impacts on the environment. Prior to his work at CarbonSpace Ltd, Dr. Granat held several research positions at the Research Foundation of City University of New York and Jet Propulsion Laboratory (JPL). At JPL, he served as the Science Team Algorithms Lead for the OCO-2 mission, a satellite mission dedicated to measuring carbon dioxide levels in Earth's atmosphere. He also served as the Group Supervisor for the Machine Learning and Instrument Autonomy Group at JPL. Dr. Granat's contributions to the fields of machine learning, geophysics, and climate science have been recognized with numerous awards and publications. He is a member of several professional organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the American Geophysical Union (AGU). In addition to his professional achievements, Dr. Granat is also dedicated to sharing his knowledge and expertise with the next generation of engineers and scientists.

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Matthew Fu, Ph.D.

Ph.D. with expertise in sensors and diverse start-up experience
Education

Princeton University

Doctor of Philosophy, Mechanical and Aerospace Engineering / September, 2018

Princeton, New Jersey, United States of America

California Institute of Technology

Bachelor of Science, Mechanical and Civil Engineering / June, 2013

Pasadena, California, United States of America
Experience

California Institute of Technology

Postdoctoral Scholar Research Associate / July, 2020 — Present

Stanford University

Postdoctoral Scholar / October, 2019 — June, 2020

University of Melbourne

Research Fellow in Fluid Mechanics / July, 2019 — September, 2019

Princeton University

Postdoctoral Research Associate / September, 2018 — June, 2019

Research Expertise
Fluid Mechanics
Condensed Matter Physics
Computational Mechanics
Mechanics of Materials
Fluid Flow and Transfer Processes
And 15 more

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Ali Kazemi Jahromi

Senior Optical Scientist interested in research on novel optical devices, with an interest in machine learning and data science
Experience

Viavi Solutions

Senior Optical Engineer / January, 2021 — Present

University of Central Florida

Research Scientist / January, 2020 — December, 2020

California Institute of Technology

Postdoctoral Scholar / September, 2018 — December, 2019

Research Expertise
Computer Vision and Pattern Recognition
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Computer Networks and Communications
Electrical and Electronic Engineering
And 2 more

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Mackenzie Day

Professor Mackenzie Day specializes in sedimentary geology with an emphasis on aeolian systems. Earth and planetary science.
Education

California Institute of Technology

University of Texas at Austin

About
Sedimentology, surface processes, aeolian, eolian, geomorphology, geology, planetary science, Mars, deserts

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Joseph E. Carroll

retired family physician with publications in pure and applied mathematics and medicine
Experience

California Institute of Technology

Bateman Research Instructor / September, 1973 — June, 1975

academic mathematics

University of Wisconsin, Madison / September, 1975 — June, 1977

visiting assistant professor

Arcata Family Medical Group

family physician / December, 1982 — April, 2000

office and hospital physician

Open Door Community Health Centers

staff family physician / May, 2004 — December, 2016

as above

Research Expertise
applications of mathematics to biology and medicine
About
I am retired but seek interesting part time research, especially mathematical modeling in medicine and biology. I have approximately twenty-five peer reviewed publications and am happy to send a cv.

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Zhibin Guan

Professor of Chemistry with expertise in polymers and sustainable plastics, University of California, Irvine
Experience

Caltech

Research Fellow / July, 1994 — June, 1995

Postdoctoral research with Prof. Frances Arnold (Nobel Laureate in Chemistry 2018)

DuPont

Senior Research Chemist / June, 1995 — June, 2000

UC Irvine

Assistant Professor / September, 2000 — June, 2004

Associate Professor (with tenure) / July, 2004 — June, 2006

Professor / July, 2006 — Present

Research Expertise
materials chemistry
polymer
biomaterials
catalysis
sustainable materials
And 1 more

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Tristan Lambert

Education

California Institute of Technology

About
Organic chemistry, synthetic chemistry, catalysis

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Leon Thomsen

Education

California Institute of Technology

Columbia University

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