Caleb Goodwin Email & Phone Number
@kaiserpermanente.org
3 phones found area 901 and 415
LinkedIn matched
Who is Caleb Goodwin? Overview
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Caleb Goodwin is listed as Medical AI specialist at Kaiser Permanente, based in San Diego County, California, United States. AeroLeads shows a work email signal at kaiserpermanente.org, phone signal with area code 901, 415, and a matched LinkedIn profile for Caleb Goodwin.
Caleb Goodwin previously worked as Principal Architect: Data Science at Kaiser Permanente and Lead Architect: Data Science at Kaiser Permanente. Caleb Goodwin holds Doctor Of Philosophy - Phd, Biomedical Informatics from The University Of Texas Health Science Center At Houston (Uthealth Houston).
Email format at Kaiser Permanente
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AeroLeads found 2 current-domain work email signals for Caleb Goodwin. Compare company email patterns before reaching out.
About Caleb Goodwin
Caleb Goodwin is a Medical AI specialist at Kaiser Permanente. He possess expertise in start ups, product management, data science, artificial intelligence, machine learning and 38 more skills. Colleagues describe him as "Good leadership skills, was able to create a more constructive environment for interns when there was little attention paid to the program some days. He was always kind to me even when I was having an off-day. I have paid that kindness forward in the team building I have done in succeeding years. I highly recommend working with him as a superior if you get the chance!", "I worked with Caleb at a startup company. We were a very small team of data scientists, so we had to implement everything ourselves: starting with acquiring the data, cleaning and preparing it, training the models and then implementing all that in production code. I can say that Caleb was a great professional to work with. He always had bright ideas about how to use the data for new insights and potential features for the product. He was constantly trying new algorithms and models to solve our tasks. I personally learned a lot from working with him. He worked hard and was very passionate about what we were doing. He was also easy going and interesting to talk to. I think any data science team would greatly benefit from working with Caleb.", and "Working with Caleb has been a wonderful experience, owing to both his expertise as a data scientist as well as the energy he brought to the data science team as the lead. He is very passionate about and experienced in machine learning, and was continually able to translate his experience into visible improvements to the product. In addition, but perhaps more importantly, his ability to motivate his team and foster a productive environment easily make him the best manager I have had the chance to work with. I would not pass up another opportunity to work with Caleb."
Listed skills include Start Ups, Product Management, Data Science, Artificial Intelligence, and 39 others.
Caleb Goodwin's current company
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Caleb Goodwin work experience
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Lead Architect: Data Science
Developed machine learning models to categorize patient records.
Senior Data Scientist
Startup in the recruiting space.Led small data science team.Developed models to categorize resumes and work experience. Also developed models to predict the next title and company of job candidates.Misc: Mined github to rank contributors and repos.Developed model for entity resolution.Numerous improvements to relevance ranking.
Senior Lead Data Scientist
Acquired by LexisNexis.Ravel Law is a legal search, analytics, and visualization platform for lawyers. Joined Ravel Law as employee #4. Promoted from Natural Language Processing Engineer December 2014.Created interdisciplinary data science team of 9 (data scientists, lawyers, linguists, and software engineers). Team created 30+ machine learning models and impacted every major product.Created quality control team of 4 for multi-million dollar project to digitize the Harvard Law library. Team ensured that the external vendor met quality thresholds.Lead analytics component for the Judge Analytics platform, which enabled lawyers to research past rulings of judges to craft arguments. Featured in Forbes, Fast Company, TechCrunch, and ABA Journal.In conjunction with my team, I developed the core components of Judge Analytics which was models to extract authors of opinions, models to categorize documents, and natural language processing algorithms to extract rulings.Collaborated with marketing team to create 6 blog posts to increase brand awareness. Blog posts were covered by Business Insider, ABA Journal, US News, and the National Law Journal among others.Project details below.
Graduate Research Assistant & Keck Fellow
Dissertation was at the intersection of human factors and information retrieval. Developed predictive models of user clicks on PubMed. Showed that document access patterns on PubMed could be modeled using statistical models of human memory access.
Rotation For Nlm Fellows
The Lister Hill National Center for Biomedical Communications develops advanced health information resources and software tools that are widely used in biomedical research and by health IT professionals, health care providers, and consumers. I spent two summers at the Lister Hill working on Semantic MEDLINE (https://skr3.nlm.nih.gov/SemMed/).Developed discovery-browsing (link analysis) system based on the Information Foraging Theory to assist in scientific hypothesis generation by mining a semantic graph and recommending interesting connections. Algorithm was able to automate discoveries made manually by scientists using Semantic MEDLINE.Analyzed growth and structure of biomedical knowledge over the last 40 years and found that it has a small world and scale free structure and evolves according to mathematical models of human memory retention.
Software Engineer
United Space Alliance was a joint venture between Lockheed Martin and Boeing. When I worked there, United Space Alliance was one of the largest NASA contractors and was responsible for the majority of the shuttle and space station operations.Member of software development team responsible for the development of the operating system for the space shuttle.Supported numerous shuttle missions as part of flight support.Received employee performance award for training courses on modern software development approaches.
Research Assistant
Conducted very early work in investigating the implications of the Semantic Web for wireless sensor networks. General idea was being able to perform ad-hoc queries on sensor networks and being able to match the available sensor resources with services that could consume the sensor data.
Caleb Goodwin education
Doctor Of Philosophy - Phd, Biomedical Informatics
Master Of Science - Ms, Electrical Engineering
Bachelor Of Science - Bs, Computer Engineering
Frequently asked questions about Caleb Goodwin
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What company does Caleb Goodwin work for?
Caleb Goodwin works for Kaiser Permanente.
What is Caleb Goodwin's role at Kaiser Permanente?
Caleb Goodwin is listed as Medical AI specialist at Kaiser Permanente.
What is Caleb Goodwin's email address?
AeroLeads has found 2 work email signals at @kaiserpermanente.org for Caleb Goodwin at Kaiser Permanente.
What is Caleb Goodwin's phone number?
AeroLeads has found 3 phone signal(s) with area code 901, 415 for Caleb Goodwin at Kaiser Permanente.
Where is Caleb Goodwin based?
Caleb Goodwin is based in San Diego County, California, United States while working with Kaiser Permanente.
What companies has Caleb Goodwin worked for?
Caleb Goodwin has worked for Kaiser Permanente, Uncommon Co., Ravel Law, The University Of Texas Health Science Center At Houston, and National Library Of Medicine (Nlm).
How can I contact Caleb Goodwin?
You can use AeroLeads to view verified contact signals for Caleb Goodwin at Kaiser Permanente, including work email, phone, and LinkedIn data when available.
What schools did Caleb Goodwin attend?
Caleb Goodwin holds Doctor Of Philosophy - Phd, Biomedical Informatics from The University Of Texas Health Science Center At Houston (Uthealth Houston).
What skills is Caleb Goodwin known for?
Caleb Goodwin is listed with skills including Start Ups, Product Management, Data Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, and Team Building.
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