Ali Dashti Email & Phone Number
@amazon.com
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Who is Ali Dashti? Overview
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Ali Dashti is listed as GenAI @ Amazon Stores | Science lead @ US Prime and Marketing Tech | Product-driven Gen AI solutions. at Amazon, based in Greater Seattle Area, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Ali Dashti.
Ali Dashti previously worked as Applied Science Manager at Amazon and Applied Scientist at Amazon. Ali Dashti holds Doctor Of Philosophy (Ph.D.), Biomedical And Healthcare Informatics from University Of Wisconsin-Milwaukee.
Email format at Amazon
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AeroLeads found 3 current-domain work email signals for Ali Dashti. Compare company email patterns before reaching out.
About Ali Dashti
Demonstrated history of working in the AI/ML industry. With years of experience in Manifold Embedding, Deep Learning, NLP in both Academia and Industry, offer experience in team building, leadership and multidisciplinary collaborative efforts.
Listed skills include Matlab, Data Analysis, C++, Image Processing, and 19 others.
Ali Dashti's current company
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Ali Dashti work experience
A career timeline built from the work history available for this profile.
Applied Scientist
Associate Scientist
• Development of a novel, state of the art geometric machine learning algorithm for Cryo-Electron Microscopy (CryoEM) data analysis which were cited in the scientific significance section of the 2017 Nobel prize in Chemistry for advancement of CryoEM technology. • Initial development and product management of ManifoldEM (a team of five with interdisciplinary backgrounds), an open source software package with user-friendly GUI for the CryoEM data analysis based on the above-mentioned algorithms, currently in alpha testing stage. • Application of a host of machine learning techniques such as nonlinear regression, SVM, ensemble learning techniques such as random forests and XGBOOST, Fully-Connected Neural Nets, Recurrent Neural Nets and Autoencoders to study Gestational Age using Ultrasound biometric measures
Postdoctoral Associate
My work mainly revolves around data analysis of single particle imaging from biological entities. More specifically, I am working on mapping conformational changes of Ribosome from Cryo-Electron Microscopy data using non-linear dimensionality reduction methods.
Phd
GPU programming, High performance computing, Algorithm development, Cryo-EM Image processing, manifold embedding, Genomic data analysis.
Researcher
Synthetic biology. Stem cells regulatory network analysis, research proposal written on the subject of cellular computation.
Ali Dashti education
Doctor Of Philosophy (Ph.D.), Biomedical And Healthcare Informatics
Master Of Science (M.Sc.), Electrical And Electronics Engineering
Master Of Science (M.Sc.), Bioengineering And Biomedical Engineering
Bachelor Of Science (B.Sc.), Electrical And Electronics Engineering
Frequently asked questions about Ali Dashti
Quick answers generated from the profile data available on this page.
What company does Ali Dashti work for?
Ali Dashti works for Amazon.
What is Ali Dashti's role at Amazon?
Ali Dashti is listed as GenAI @ Amazon Stores | Science lead @ US Prime and Marketing Tech | Product-driven Gen AI solutions. at Amazon.
What is Ali Dashti's email address?
AeroLeads has found 3 work email signals at @amazon.com for Ali Dashti at Amazon.
Where is Ali Dashti based?
Ali Dashti is based in Greater Seattle Area, United States while working with Amazon.
What companies has Ali Dashti worked for?
Ali Dashti has worked for Amazon, University Of Wisconsin Milwaukee, and Neural Repair Center Of Tehran Medical School.
How can I contact Ali Dashti?
You can use AeroLeads to view verified contact signals for Ali Dashti at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Ali Dashti attend?
Ali Dashti holds Doctor Of Philosophy (Ph.D.), Biomedical And Healthcare Informatics from University Of Wisconsin-Milwaukee.
What skills is Ali Dashti known for?
Ali Dashti is listed with skills including Matlab, Data Analysis, C++, Image Processing, Research, Biomedical Engineering, High Performance Computing, and Data Mining.
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