Katherine Tan
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Katherine Tan Email & Phone Number

Senior Data and Applied Scientist at Salesforce
Location: Greater Seattle Area, United States 9 work roles 3 schools
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Current company
Role
Senior Data and Applied Scientist
Location
Greater Seattle Area, United States
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Who is Katherine Tan? Overview

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Quick answer

Katherine Tan is listed as Senior Data and Applied Scientist at Salesforce, a with 83776 employees, based in Greater Seattle Area, United States. AeroLeads shows a matched LinkedIn profile for Katherine Tan.

Katherine Tan previously worked as Senior Data/Applied Scientist at Salesforce and Senior Machine Learning Scientist at Flatiron Health. Katherine Tan holds Graduate Certificate Of Technology Entrepreneurship from Uw Foster School Of Business.

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Salesforce

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Profile bio

About Katherine Tan

Entrepreneurial-minded data scientist and statistician with 4.5 years industry experience post PhD in Biostatistics.I draw from a methodological toolkit including: causal inference, machine learning, natural language processing, experimental/study design, Bayesian modeling, survival analysis, forecasting, regression/longitudinal models etc. More so than specific methodologies, I thrive in driving clarity in complex business scenarios where framing the right questions and knowing when to prototype v.s. productionalize is just as important as executing on the data science solution.I code in Python + R + SQL fluently, and enjoy translating between these languages for projects/teams.Domain expertise in healthcare data (electronic health records, clinical trials) and medical data (radiology, oncology) with professional experience working with large-scale data, unstructured data, and operational data (time, cost).

Listed skills include R, Statistics, Research, Nonprofits, and 14 others.

Current workplace

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Salesforce
Salesforce
Senior Data and Applied Scientist
Kirkland, WA, US
Website
Employees
83776
AeroLeads page
9 roles

Katherine Tan work experience

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

Senior Data And Applied Scientist

Kirkland, Wa, Us

Senior Data/Applied Scientist

Current

San Francisco, California, Us

Machine Learning and NLP/LLM at Einstein Language Intelligence

Dec 2023 - Present

Senior Machine Learning Scientist

New York, New York, Us

Extract clinical & medical information from longitudinal patient charts at scale with ML/NLP.Bias evaluation of ML models to ensure generalizability.Ad hoc data science-y analyses on cost savings forecasting, power calculations, metrics etc.

Apr 2023 - Dec 2023

Senior Quantitative Scientist

New York, New York, Us

As Imaging QS Team Lead, drive research strategy and product scaling effortsAs Senior Quant member, provide technical and scientific oversight on multiple external research collaborations spanning imaging, endpoints, and hybrid control arms

Aug 2021 - Mar 2023

Quantitative Scientist

New York, New York, Us

Technical Lead on research projects such as external and hybrid control arms and endpoints, resulting in multiple peer reviewed publications and scientific talksFounding member of new imaging team; built product MVP in R & python with cross-functional collaborators. Set technical foundation and trained multiple new team members

Jan 2019 - Jul 2021

Graduate Research Assistant

Seattle, Wa, Us

I worked with a multi-disciplinary team of statisticians, programmers, physicians, and other health professionals on the Lumbar Imaging With Reporting Of Epidemiology (LIRE) pragmatic clinical trial. I prototyped and deployed a Natural Language Processing (NLP) pipeline using Java, R, and Python. The algorithm achieved an AUC > 0.95 for 26 image-derived findings, and was applied to classify over 200,000 radiology report text into patient subgroups.Past projects include Data Safety and Monitoring Board (DSMB) reporting and statistical analysis on a Phase II clinical trial (published in Pediatrics).

Sep 2013 - Dec 2018

Teaching Assistant

Seattle, Wa, Us

I worked with a team of professor and four TA's to coordinate a class of over 200 graduate students (BIOST 511). Duties included weekly office hours, assisting with discussion sections, and grading of homeworks and examinations.

Sep 2015 - Dec 2015

Quantitative Sciences Intern

New York, New York, Us

Jun 2017 - Aug 2017

Librarian Assistant, Special Collections

Baltimore, Md, Us

Front desk and reading room monitoring duties, General office support (answering phone calls, photocopying, packaging books), Assist patrons in locating research materials

Feb 2010 - May 2012
Team & coworkers

Colleagues at Salesforce

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3 education records

Katherine Tan education

Graduate Certificate Of Technology Entrepreneurship

Uw Foster School Of Business

Doctor Of Philosophy (Ph.D.), Biostatistics

University Of Washington

Bachelor’S Degree, Applied Mathematics

The Johns Hopkins University
FAQ

Frequently asked questions about Katherine Tan

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What company does Katherine Tan work for?

Katherine Tan works for Salesforce.

What is Katherine Tan's role at Salesforce?

Katherine Tan is listed as Senior Data and Applied Scientist at Salesforce.

Where is Katherine Tan based?

Katherine Tan is based in Greater Seattle Area, United States while working with Salesforce.

What companies has Katherine Tan worked for?

Katherine Tan has worked for Salesforce, Flatiron Health, University Of Washington, and Johns Hopkins University.

Who are Katherine Tan's colleagues at Salesforce?

Katherine Tan's colleagues at Salesforce include Suman Mahapatro, Bruno Guimarães, Ayman Bentourki, Tina Tripoli - Doerr, and Valencia Mckinney.

How can I contact Katherine Tan?

You can use AeroLeads to view verified contact signals for Katherine Tan at Salesforce, including work email, phone, and LinkedIn data when available.

What schools did Katherine Tan attend?

Katherine Tan holds Graduate Certificate Of Technology Entrepreneurship from Uw Foster School Of Business.

What skills is Katherine Tan known for?

Katherine Tan is listed with skills including R, Statistics, Research, Nonprofits, Scientific Communications, Data Analysis, Microsoft Office, and Data Visualization.

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