Daniel Goncharov Email & Phone Number
Who is Daniel Goncharov? Overview
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Daniel Goncharov is listed as AI Research engineer at Stanford University School of Medicine, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Daniel Goncharov.
Daniel Goncharov previously worked as Advisor at Coursefactory and Google Developer Expert, Machine Learning at Google Developers. Daniel Goncharov holds Master'S Degree, Applied Mathematics And Computer Science from Kuban State University (Kubsu).
Email format at Stanford University School of Medicine
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About Daniel Goncharov
Daniel Goncharov is a AI Research engineer at Stanford University School of Medicine. He possess expertise in python, machine learning, robotics, c, entrepreneurship and 1 more skills.
Listed skills include Python, Machine Learning, Robotics, C, and 2 others.
Daniel Goncharov's current company
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Daniel Goncharov work experience
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Ai Research Engineer
Advisor
Google Developer Expert, Machine Learning
Google's Developer Expert program recognizes influential speakers, content creators, and strong mentors in a technical discipline.
Visiting Lecturer
Co-teaching a seminar series focused on the application of Large Language Models (LLMs) in the field of immunology. Responsibilities include developing curriculum, delivering lectures, facilitating hands-on projects, and guiding student research.
Ana Avatar Xprize Finalist
Founder/Cto
We gathered one of the largest research datasets in the world, 'BREATHE'. The BREATHE dataset contains more than 16 million machine-read medical and research publications. Our approach then uses state-of-the-art machine learning techniques to identify latent insights from literature and deep Neural Network based model for Language Understanding. We utilize emerging language architectures (BERT, T5) to achieve these insights.
Head Of 42 Ai & Robotics
Founded and built AI and Robotics lab as part of School 42 Silicon Valley.Lead various R&D and educational projects.The most notable projects are:Self-driving RC car (end-to-end ML solution based on behavior cloning)Cerebro Voice (subvocal speech recognition)NeuroSleeve (using ML and EMG to control VR environments)Mycotronics (project in collaboration with Stanford bioengineering department)
Co-Founder / Cto
Designed and built biologically inspired robotic walking creatures, ZeGoBeasts.Used cameras and Computer Vision(CV) to make robots engaging and interactive.Building one of these biologically inspired toys is an excellent way to learn about basic kinematics, mechanics, and computer vision. Spend your next weekend building this fully mechanical creature. Build, Learn, Play
Co-Founder / Cto
Multifunctional delta robot with 3D printing attachment. And it is one of the fastest ways to get involved in DIY robotics and 3D printing.
Daniel Goncharov education
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Kuban State University (Kubsu)
Frequently asked questions about Daniel Goncharov
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What company does Daniel Goncharov work for?
Daniel Goncharov works for Stanford University School of Medicine.
What is Daniel Goncharov's role at Stanford University School of Medicine?
Daniel Goncharov is listed as AI Research engineer at Stanford University School of Medicine.
Where is Daniel Goncharov based?
Daniel Goncharov is based in San Francisco Bay Area, United States while working with Stanford University School of Medicine.
What companies has Daniel Goncharov worked for?
Daniel Goncharov has worked for Stanford University School Of Medicine, Coursefactory, Google Developers, Stanford University, and Xprize.
How can I contact Daniel Goncharov?
You can use AeroLeads to view verified contact signals for Daniel Goncharov at Stanford University School of Medicine, including work email, phone, and LinkedIn data when available.
What schools did Daniel Goncharov attend?
Daniel Goncharov holds Master'S Degree, Applied Mathematics And Computer Science from Kuban State University (Kubsu).
What skills is Daniel Goncharov known for?
Daniel Goncharov is listed with skills including Python, Machine Learning, Robotics, C, Entrepreneurship, and 3D Modeling.
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