Stanford University
Showing 61-80 of 35,010 Results
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Jonathan Abel
Affiliate, Music
BioJonathan S. Abel is a Consulting Professor at the Center for Computer Research in Music and Acoustics (CCRMA) in the Music Department at Stanford University, working in music and audio applications of signal and array processing, parameter estimation and acoustics. He is also a co-founder of Seismic Innovations, LLC, and Seismic Services, LLC, companies specializing in microseismic signal processing. Abel was a co-founder and Chief Technology Officer of the GRAMMY Award winning Universal Audio, Inc. He was previously a researcher at NASA/Ames Research Center, Chief Scientist of Crystal River Engineering, Inc., and a Lecturer in the Department of Electrical Engineering at Yale University. As an industry consultant, Abel has worked with Apple, Dolby, FDNY, LSI Logic, L3 Technologies, LR Baggs, Native Instruments, SAIC, Sennheiser, Sigma Cubed, Triple Ring, and the U.S. NRL on projects in professional audio, GPS, fire department siting and deployment, medical imaging, room acoustics measurement, audio effects processing, passive sonar, and microsiesmic signal processing. He holds Ph.D. and M.S. degrees from Stanford University, and an S.B. from MIT, all in electrical engineering. Abel is a Fellow of the Audio Engineering Society for contributions to audio effects processing.
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Tom Abel
Professor of Particle Physics and Astrophysics and of Physics
BioWhat were the first objects that formed in the Universe, what is it made of, how does it work? Prof. Abel's group explores all of cosmic history using ab initio supercomputer calculations. He has shown from first principles that the very first luminous objects are very massive stars and has developed novel numerical algorithms using adaptive-mesh-refinement simulations that capture over 14 orders of magnitude in length and time scales. He has shown how the first stars galaxies form and affect everything that follows later. He has been pioneering novel numerical algorithms to study collisionless fluids such as dark matter as well as astrophysical and terrestrial plasmas. He has designed bespoke summary statistics to have interpretable, robust, efficient, summary statistics to describe spatial clustering based on fast nearest neighbor searches. His recent work is on creating digital twins of astronomical objects and the Universe as a whole in the context of the Center for Decoding the Universe. This Center leverages advances in machine learning and artificial intelligence to make sense of our Universe. He was the director of the Kavli Institute for Particle Astrophysics and Cosmology and Division Director at SLAC 2013-2018.
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Gita Chu Abhiraman
Affiliate, Department Funds
Resident in MedicineBioGita Abhiraman is a resident physician in Internal Medicine at Stanford in the Translational Investigator Program. She is interested in immune signaling and immune dysregulation in malignancy. She completed her MD and PhD at Stanford in the Medical Scientist Training Program. Her PhD in Immunology was advised by Dr. Chris Garcia, in which she studied cytokine signaling, immune receptor structure, and protein engineering. She was the recipient of a Hertz Fellowship during her graduate training. She previously solved the structure of the interleukin-21 signaling receptor complex. She also developed immune switch molecules called "cytokine adaptors" with applications in cancer and autoimmune disease. She has contributed to work on several other cytokines, including IL-21, IL-12, and IL-10, for diverse therapeutic applications. Prior to her graduate training, Gita completed a bachelor's degree in Physics with a focus in Biophysics at Harvard University. She previously conducted research in the lab of Dr. Stephanie Dougan at Dana-Farber Cancer Institute.
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Matthew Alexander Abikenari
MD Student with Scholarly Concentration in Molecular Basis of Medicine / Immunology, expected graduation Spring 2028
BioMatthew earned his undergraduate degree summa cum laude from UCLA, where he conducted full-time basic and clinical neuroscience research investigating the molecular mechanisms underlying neurodegenerative disease. He subsequently completed a graduate degree in Clinical Neuroscience at the University of Oxford as The Queen’s College Herbruck Scholar, an award granted to only one American student per year, where his research focused on paraneoplastic autoimmunity and spatial genomic regulation of malignant CNS neoplasms.
As a medical student at Stanford University, Matthew has trained under the mentorship of Dr. Michael Lim, developing expertise in translational neuro-oncology, in order to investigate the cellular and molecular mechanisms that drive immunosuppression in glioblastoma. His research has centered on glial immunology and the metabolic organization of the tumor microenvironment, with particular emphasis on intercellular organelle transfer and immunometabolic reprogramming of tumor-infiltrating immune cells.
His family’s experience with brain cancer continues to ground his work and deepen his commitment to understanding, and ultimately improving, neurosurgical oncology. -
Frank Abild-Pedersen
Senior Scientist, Energy Sciences
BioDr. Abild-Pedersen is the co-director of SUNCAT Center for Interface Science and Catalysis. He is leading a research team that focuses on developing an understanding of the factors determining the catalytic properties at the interface between gas/solvent and solid surfaces and to apply these insights to processes and catalysts of importance for energy transformations and for sustainable chemical production. His research takes advantage of computer facilities at SLAC and Stanford to gain the necessary understanding and to link these simulations to experiments where new catalyst synthesis methods are developed, and the catalyst materials are characterized both in terms of performance (activity, selectivity, durability, etc.) and in terms of geometrical and electronic structure. The underlying philosophy of his research is that by having a fundamental understanding of the way surfaces catalyze a chemical reaction we can make a quantum leap in our ability to make predictions for new catalysts and processes. This requires the development of a theory of heterogeneous catalysis, including electrocatalysis, based on computational and experimental results.
Dr Abild-Pedersen has extensive experience with simulations and modeling of chemical reactions. His work began with the derivation of energy correlations in catalysis that have helped speed up screening for active, selective and stable catalysts for energy conversion as a graduate student working with Professor Jens K. Nørskov at the Technical University of Denmark. He moved to SLAC in 2010 as a staff scientist and helped build up SUNCAT and define research directions in the field of heterogeneous catalysis.
