Akshay Chaudhari Email & Phone Number
@stanford.edu
2 phones found area 714 and 650
LinkedIn matched
Who is Akshay Chaudhari? Overview
A concise factual answer block for searchers comparing this professional profile.
Akshay Chaudhari is listed as Radiology AI | Faculty at Stanford | Co-Founder Cognita at Cognita, based in Stanford, California, United States. AeroLeads shows a work email signal at stanford.edu, phone signal with area code 714, 650, and a matched LinkedIn profile for Akshay Chaudhari.
Akshay Chaudhari previously worked as Co-Founder at Cognita and Assistant Professor at Stanford University. Akshay Chaudhari holds Doctor Of Philosophy (Phd), Bioengineering And Biomedical Engineering from Stanford University.
Email format at Cognita
This section adds company-level context without repeating Akshay Chaudhari's masked contact details.
AeroLeads found 2 current-domain work email signals for Akshay Chaudhari. Compare company email patterns before reaching out.
About Akshay Chaudhari
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.
Listed skills include Matlab, Cell Culture, Mri, Bioengineering, and 26 others.
Akshay Chaudhari's current company
Company context helps verify the profile and gives searchers a useful next step.
Akshay Chaudhari work experience
A career timeline built from the work history available for this profile.
Assistant Professor
Current
Instructor (Radiology)
Augmenting artificial intelligence with advanced medical imaging acquisition and analysis to create fast, inexpensive, quantitative and efficacious radiological exams.
Research Scientist
Post-Doctoral Research Fellow (Radiology)
Scientific Advisor
Current
Scientific Advisor
Current
Consulting Deep Learning Research Scientist
Consulting Technology And Application Specialist
Ph.D. Candidate
- 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
Visiting Research Scholar
- 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 Assistant
- 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
Research Assistant
- 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.
Research Assistant
- 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
Pharma And Technical Development Intern
- 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.
Research Associate
- 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.
Process Development Intern
- 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.
- Winner of ‘Most Informative Poster’ at Genentech Summer Intern Poster Expo.
Akshay Chaudhari education
Doctor Of Philosophy (Phd), Bioengineering And Biomedical Engineering
B.S., Bioengineering
Frequently asked questions about Akshay Chaudhari
Quick answers generated from the profile data available on this page.
What company does Akshay Chaudhari work for?
Akshay Chaudhari works for Cognita.
What is Akshay Chaudhari's role at Cognita?
Akshay Chaudhari is listed as Radiology AI | Faculty at Stanford | Co-Founder Cognita at Cognita.
What is Akshay Chaudhari's email address?
AeroLeads has found 2 work email signals at @stanford.edu for Akshay Chaudhari at Cognita.
What is Akshay Chaudhari's phone number?
AeroLeads has found 2 phone signal(s) with area code 714, 650 for Akshay Chaudhari at Cognita.
Where is Akshay Chaudhari based?
Akshay Chaudhari is based in Stanford, California, United States while working with Cognita.
What companies has Akshay Chaudhari worked for?
Akshay Chaudhari has worked for Cognita, Stanford University, Chondrometrics Gmbh, Brain Key, and Subtle Medical.
How can I contact Akshay Chaudhari?
You can use AeroLeads to view verified contact signals for Akshay Chaudhari at Cognita, including work email, phone, and LinkedIn data when available.
What schools did Akshay Chaudhari attend?
Akshay Chaudhari holds Doctor Of Philosophy (Phd), Bioengineering And Biomedical Engineering from Stanford University.
What skills is Akshay Chaudhari known for?
Akshay Chaudhari is listed with skills including Matlab, Cell Culture, Mri, Bioengineering, Biomedical Imaging, Labview, Mri Pulse Sequence Programming, and Solidworks.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial