Caleb Goodwin
AeroLeads people directory · profile

Caleb Goodwin Email & Phone Number

Medical AI specialist at Kaiser Permanente
Location: San Diego County, California, United States 8 work roles 3 schools
2 work emails found @kaiserpermanente.org 3 phones found area 901 and 415 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 3 phones

Work email c****@kaiserpermanente.org
Direct phone (901) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Medical AI specialist
Location
San Diego County, California, United States

Who is Caleb Goodwin? Overview

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Quick answer

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).

Company email context

Email format at Kaiser Permanente

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{first_initial}{last}@kaiserpermanente.org
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AeroLeads found 2 current-domain work email signals for Caleb Goodwin. Compare company email patterns before reaching out.

Profile bio

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.

Current workplace

Caleb Goodwin's current company

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Kaiser Permanente
Kaiser Permanente
Medical AI specialist
AeroLeads page
8 roles · 14 years

Caleb Goodwin work experience

A career timeline built from the work history available for this profile.

Principal Architect: Data Science

Current

Oakland, California, US

Jan 2023 - Present

Lead Architect: Data Science

Oakland, California, US

Developed machine learning models to categorize patient records.

Mar 2017 - Mar 2024

Senior Data Scientist

San Francisco, California, US

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.

Mar 2016 - Mar 2017

Senior Lead Data Scientist

San Francisco, California, US

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.

Jan 2014 - Mar 2016

Graduate Research Assistant & Keck Fellow

Houston, Texas, US

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.

Jul 2008 - Dec 2013

Rotation For Nlm Fellows

US

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.

2012 - 2012

Software Engineer

Houston, TX, US

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.

Aug 2007 - Aug 2008

Research Assistant

The University Of Memphis

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.

May 2005 - Aug 2007
3 education records

Caleb Goodwin education

Doctor Of Philosophy - Phd, Biomedical Informatics

The University Of Texas Health Science Center At Houston (Uthealth Houston)

Master Of Science - Ms, Electrical Engineering

The University Of Memphis

Bachelor Of Science - Bs, Computer Engineering

The University Of Memphis
FAQ

Frequently asked questions about Caleb Goodwin

Quick answers generated from the profile data available on this page.

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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