AeroLeads people directory · profile

Tam Do Email & Phone Number

Staff Machine Learning Scientist at iRhythm Technologies, Inc.
Location: San Francisco Bay Area, United States, United States 8 work roles 2 schools
2 work emails found @irhythmtech.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails

Work email t****@irhythmtech.com
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Staff Machine Learning Scientist
Location
San Francisco Bay Area, United States, United States

Who is Tam Do? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Tam Do is listed as Staff Machine Learning Scientist at iRhythm Technologies, Inc., based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at irhythmtech.com and a matched LinkedIn profile for Tam Do.

Tam Do previously worked as Senior Machine Learning Scientist at Irhythm Technologies, Inc. and Machine Learning Scientist at Irhythm Technologies, Inc.. Tam Do holds Doctor Of Philosophy - Phd, Mathematics from Rice University.

Company email context

Email format at iRhythm Technologies, Inc.

This section adds company-level context without repeating Tam Do's masked contact details.

{first_initial}{last}@irhythmtech.com
89% confidence

AeroLeads found 2 current-domain work email signals for Tam Do. Compare company email patterns before reaching out.

Profile bio

About Tam Do

I'm a ML specialist with experience designing and building ML algorithms. Passionate about using data science to tackle issues in health.

Listed skills include Latex, Python, Machine Learning, Data Analysis, and 14 others.

Current workplace

Tam Do's current company

Company context helps verify the profile and gives searchers a useful next step.

iRhythm Technologies, Inc.
Irhythm Technologies, Inc.
Staff Machine Learning Scientist
AeroLeads page
8 roles

Tam Do work experience

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

Senior Machine Learning Scientist

San Francisco, CA, US

  • Build and optimize deep learning algorithms for arrhythmia detection on up to 14-day long ECG recordings
  • Collaborate with a cross-functional team to bring ML products to production
Mar 2020 - Mar 2024

Technical Advisor

San Francisco, CA, US

  • Mentored several Insight Health Data Science fellows each session, providing guidance as they transition to data science careers
  • Provided feedback to program directors in regards to fellow progress in the program
Jan 2019 - Jun 2020

Health Data Science Fellow

San Francisco, CA, US

  • Consulted and collaborated with a medical researcher to use NLP techniques to classify free-form clinical report text according to severity.
  • Developed a pipeline in Python using the nltk package to extract and process over 8000 clinical reports for storage in a database.
  • Built a custom clustering algorithm to map thousands of doctor typed free-form sentences to standard reporting phrases, thereby standardizing thousands of reports.
Jun 2018 - Aug 2018

Assistant Professor (Non-Tenure Track) Of Mathematics

Los Angeles, CA, US

  • Led 3 lecture sections of calculus
  • Analyzed calculus student performance data using Tableau and R to assess teaching effectiveness.
  • Developed mathematics that provides theoretical limits on the growth of vorticity for a class of axial symmetric fluids.
  • Presented original research at 4 conferences and university seminars as an invited speaker.
Aug 2017 - May 2018

Graduate Student

Houston, TX, US

  • Led interactive small-lecture Calculus 2 and Linear Algebra classes where focused was placed on applications such as search algorithms and image processing.
  • Collaborated with other researchers to understand regularity and long-time dynamics of models of collective behavior in biological systems.
  • Used data from MATLAB simulations in tandem with theoretical mathematical arguments to understand singularity formation and long-time behavior of fluids.
Aug 2014 - May 2017

Graduate Researcher And Teaching Assistant

Madison, WI, US

  • Led discussion sections for various calculus courses
  • Graduate student mentor to two teams of undergraduate researchers whose work led to publication in peer-reviewed journals
  • Published one article in the area of mathematical fluid dynamics
Aug 2011 - Jul 2014
2 education records

Tam Do education

Doctor Of Philosophy - Phd, Mathematics

Rice University

Bachelor Of Science - Bs, Mathematics

University Of Washington
FAQ

Frequently asked questions about Tam Do

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

What company does Tam Do work for?

Tam Do works for iRhythm Technologies, Inc..

What is Tam Do's role at iRhythm Technologies, Inc.?

Tam Do is listed as Staff Machine Learning Scientist at iRhythm Technologies, Inc..

What is Tam Do's email address?

AeroLeads has found 2 work email signals at @irhythmtech.com for Tam Do at iRhythm Technologies, Inc..

Where is Tam Do based?

Tam Do is based in San Francisco Bay Area, United States, United States while working with iRhythm Technologies, Inc..

What companies has Tam Do worked for?

Tam Do has worked for Irhythm Technologies, Inc., Insight Data Science, University Of Southern California, Rice University, and University Of Wisconsin-Madison.

How can I contact Tam Do?

You can use AeroLeads to view verified contact signals for Tam Do at iRhythm Technologies, Inc., including work email, phone, and LinkedIn data when available.

What schools did Tam Do attend?

Tam Do holds Doctor Of Philosophy - Phd, Mathematics from Rice University.

What skills is Tam Do known for?

Tam Do is listed with skills including Latex, Python, Machine Learning, Data Analysis, Matlab, Java, Mathematical Modeling, and Applied Mathematics.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.