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Working on multimodal generative, and agentic AI for pathology. https://modella.ai/
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Chief Technology OfficerModella Ai Jun 2024 - Presenthttps://modella.ai -
Postdoctoral ResearcherBrigham And Women'S Hospital Jan 2024 - Jun 2024Us -
Graduate Research StudentBrigham And Women'S Hospital May 2019 - Jan 2024Us• Developing multimodal and context-aware AI models for solving challenging problems in pathology and precision medicine.• PI: Faisal Mahmood
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Research InternMicrosoft Jun 2021 - Sep 2021Redmond, Washington, Us• Self-supervised pathology AI models for automated cancer diagnosis.• BioML Group, MSR New England & Health Futures (Host: Rahul G. Krishnan) -
Graduate Research Student / VisitorMit Computer Science And Artificial Intelligence Laboratory (Csail) Feb 2020 - May 2020Cambridge, Ma, Us• Multimodal image-text alignment and cross-modal learning of chest x-ray image and text reports• Host: Wei Hung Weng, Peter Szolovits -
Graduate Research StudentThe Johns Hopkins University Sep 2017 - May 2019Baltimore, Md, Us• Developed generative AI models for building synthetic environments for GI endoscopy, solving problems in: monocular depth estimation, multimodal polyp detection, and SLAM and RL for capsule endoscope navigation• PI: Nicholas Durr, Alan Yuille -
Design Team MemberThe Johns Hopkins University Jan 2014 - Aug 2017Baltimore, Md, Us• Mobile health and medical device development through the Johns Hopkins Center of Bionengineering & Design (CBID) program, which include: • Respirage: A low-cost respiratory rate monitoring device for emergency triage and ambulatory transport • Otoscreen: A low-cost hearing device that screens for newborn hearing in mobile health clinic settings • Kaleyedos: A lightweight, retinal imaging device to deskill the screening process for Retinopathy of Prematurity.
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Undergraduate Research AssistantThe Johns Hopkins University Oct 2013 - May 2015Baltimore, Md, Us• Computer vision for measuring local myocardial dysfunction in MRI and 4DCT data• PI: Elliot McVeigh, Amir Pourmorteza
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Machine Learning ResearcherApple Jun 2018 - Feb 2019Cupertino, California, Us• Multimodal integration of app and sensor data streams from Apple devices (iPhone and Watch) for measuring mild cognitive decline• Health R&D Initiatives & Applied Machine Learning Group -
Research InternApple May 2017 - Aug 2017Cupertino, California, Us• Skin lesion classification for the MoleMapper ResearchKit App on iPhone.• Health Special Projects Group
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Software EngineerProscia Mar 2016 - Apr 2017Philadelphia, Pennsylvania, Us• Worked on expanding the company's flagship product to leverage computer vision and AI for automated anomaly detection and cancer screening -
Research InternHarvard Medical School Jun 2015 - Aug 2015Boston, Ma, Us• Explored machine learning methods and survival analysis for finding new predictors of recurrent heart attacks in health insurance claims data from Aetna.• Host: Zak Kohane, Andrew Beam & Nathan Palmer through the Summer Institute in Biomedical Informatics (SIBMI) Program at HMS -
Research InternNibib, National Institutes Of Health Jun 2013 - Aug 2013Bethesda, Md, Us• Explored computer vision methods in immunofluorescene and electron microscopy to study glycogen synthesis activity of human pluripotent stem cells during cell differentiation with GSK3-β inhibition• Host: Richard Leapman, through the NIH Summer Internship (SIP) Program in Biomedical Research
Richard J. Chen Skills
Richard J. Chen Education Details
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Harvard UniversityBiomedical Informatics -
The Johns Hopkins UniversityBiomedical Engineering And Computer Science
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Montgomery Blair High SchoolComputer Science Magnet Program
Frequently Asked Questions about Richard J. Chen
What company does Richard J. Chen work for?
Richard J. Chen works for Modella Ai
What is Richard J. Chen's role at the current company?
Richard J. Chen's current role is CTO @ Modella AI.
What is Richard J. Chen's email address?
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What is Richard J. Chen's direct phone number?
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What schools did Richard J. Chen attend?
Richard J. Chen attended Harvard University, The Johns Hopkins University, Montgomery Blair High School.
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What skills is Richard J. Chen known for?
Richard J. Chen has skills like Machine Learning, C++, Java, C, Research, Python, Data Analysis, R, Statistics, Android Development, Computer Vision, Computational Genomics.
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