Akshay Chaudhari Email and Phone Number
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I am a Research Scientist in the Department of Radiology at Stanford University. I am interested in developing and optimizing multi-modality imaging techniques to better under pathophysiology in early disease progression and to enhance the of efficiency/efficacy of current diagnostic imaging. I combine deep learning and computer vision methods with advanced MRI data acquisition and signal processing techniques for generating rapid, quantitative and morphological magnetic resonance imaging (MRI) examinations. I also advise and consult for several companies over a range of topics including deep learning, MR imaging protocols, data management, etc.
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Co-FounderCognita Oct 2024 - Present
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Assistant ProfessorStanford University Oct 2020 - PresentStanford, Ca, Us -
Instructor (Radiology)Stanford University Nov 2019 - Oct 2020Stanford, Ca, UsAugmenting artificial intelligence with advanced medical imaging acquisition and analysis to create fast, inexpensive, quantitative and efficacious radiological exams.
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Research ScientistStanford University Apr 2019 - Oct 2019Stanford, Ca, Us
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Post-Doctoral Research Fellow (Radiology)Stanford University Oct 2017 - Mar 2019Stanford, Ca, Us
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Scientific AdvisorChondrometrics Gmbh Feb 2019 - PresentFreilassing, Bavaria, De -
Scientific AdvisorBrain Key Sep 2018 - PresentSan Francisco, California, Us -
Consulting Deep Learning Research ScientistSubtle Medical Feb 2018 - Jan 2023Menlo Park, California, Us -
Consulting Technology And Application SpecialistSkope Magnetic Resonance Technologies Sep 2017 - Aug 2018Zurich, Ch -
Ph.D. CandidateStanford University Body Magnetic Resonance Lab Jun 2013 - Sep 2017• Develop new pulse sequences in MRI in order to better investigate tissues that are traditionally 'MRI invisible' in the knee • Develop new signal models in order to create quantitative parameter maps of T1, T2, and, Apparent Diffusion Coefficients (ADC) in knees and breasts, using MRI.• Develop new reconstruction paradigm capable of low SNR quantitative MRI.• Developed ultra-fast 5-minute protocols for comprehensive knee MRI with 99% diagnosis accuracy• Support a clinical study that investigates the spatial and longitudinal changes in the knee in patient groups susceptible to Osteoarthritis
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Visiting Research ScholarInstitute Of. Biomedizinische Technik, Eth Zurich Jun 2015 - Sep 2015Lörrach, Baden-Wurttemberg, De• Measured impulse response functions for MRI gradients to track traversal through frequency space. • Compared the efficacy of impulse response functions and field cameras for artifact reduction in MRI. -
Undergraduate Research Assistant3D Ultrasound Lab Jul 2011 - May 2012• Investigated using ultrasound to measure tissue stiffness for evaluating early stage breast cancers.• Developed new imaging phantoms and performed mechanical evaluation to ascertain suitability for use in tissue simulations
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Research AssistantSystems Biology Lab, Ucsd Jul 2009 - Apr 2012• Implemented an in silico model for a growth competition between E. coli and Yeast, and validated the models with experimental data using upstream cell culture techniques.• Chief researcher to study the occurrences of diauxic shifts in E.coli in a high throughput project, involving profiling metabolic behavior along with transcriptional and genetic regulations.
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Research AssistantBiosensors Lab, Ucsd Jan 2009 - Apr 2012• Parameterized data for a drug molecule nanovector, Poly Glutamyl-Glutamate Paclitaxel (PGGP) elucidating the physiochemical properties of the drug delivery system in silico.• Implemented computer vision algorithms in MATLAB to analyze histological samples of porcine tissue in the periphery of an implanted oxygen biosensor; used resulting data to analyze vasculature distribution patterns
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Pharma And Technical Development InternGenentech Jun 2011 - Sep 2011South San Francisco, California, Us• Independently performed exploratory work in the commercial application of alternative techniques of ionization in analytes in mass spectrometry (MS). Laid groundwork towards the use of Matrix Assisted Ambient Ionization for solvent free analysis of insoluble molecules, large proteins, peptides and digests using a Thermo Fisher Exactive and a Bruker Autoflex MALDI ToF – MS. -
Research AssociateSan Diego Padres/Shiley Center Of Orthopedic Research And Education Jun 2009 - Sep 2011• Created an inexpensive and portable system now used to quantify kinematics for a multitude of parts in the body, using the Nintendo Wii. • Commercially translated this technology and worked with the San Diego Padres, during spring training and regular season, to test shoulder mobility of pitchers where physiotherapists will use collected data over the next 2-3 year to track shoulder health.
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Process Development InternGenentech Jun 2010 - Sep 2010South San Francisco, California, Us• Formulated a Metabolomics assay from the ground up, using Liquid Chromatography (LC) and Mass Spectrometry (MS), for cellular metabolic analysis. Delivered an assay for Positive Mode LC-MS using an Agilent 1290 UHPLC and Thermo Fisher LTQ Orbitrap.• Winner of ‘Most Informative Poster’ at Genentech Summer Intern Poster Expo.
Akshay Chaudhari Skills
Akshay Chaudhari Education Details
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Stanford UniversityBioengineering And Biomedical Engineering -
Uc San DiegoBioengineering
Frequently Asked Questions about Akshay Chaudhari
What company does Akshay Chaudhari work for?
Akshay Chaudhari works for Cognita
What is Akshay Chaudhari's role at the current company?
Akshay Chaudhari's current role is Radiology AI | Faculty at Stanford | Co-Founder Cognita.
What is Akshay Chaudhari's email address?
Akshay Chaudhari's email address is si****@****ail.com
What is Akshay Chaudhari's direct phone number?
Akshay Chaudhari's direct phone number is +171420*****
What schools did Akshay Chaudhari attend?
Akshay Chaudhari attended Stanford University, Uc San Diego.
What are some of Akshay Chaudhari's interests?
Akshay Chaudhari has interest in Travelling, Soccer, Electronic Music, Reading, Ultimate Frisbee, Astronomy.
What skills is Akshay Chaudhari known for?
Akshay Chaudhari has skills like Matlab, Cell Culture, Mri, Bioengineering, Biomedical Imaging, Labview, Mri Pulse Sequence Programming, Solidworks, Research, Biomedical Engineering, Autocad, Imagej.
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