Daniel Ru

Collaborator
DISC Type : is

Director of Applied AI at Tempus AI

United States

Overview

As Director of Applied AI at Tempus AI, Daniel leads teams building machine learning systems to support patient care. His work combines clinical analytics and large-scale health data platforms, informed by his education at Columbia University and the University of Michigan. He has prior experience at Health Catalys and Explorys.

Daniel is driven by the human stories behind complex healthcare data. He focuses on how technology and small insights can change the course of a patients treatment, ensuring that every data model and prediction is grounded in its connection to a real life.

He is inspired by science, humanity, and what he calls "the quiet ways the world heals" to bring clarity from complexity.

Personality Overview

Example Driven

Good Listener

Consensus Builder

Unlike D or C types, they are calm as well as friendly and can give the impression of being more receptive than they actually are.  Win-win scenarios can appeal strongly to them. They are more likely to go for proven solutions.

Topics They Care About

AI in Healthcare
His entire career is focused on building AI and machine learning systems that genuinely support clinicians and improve patient care.
Human-centric AI
Believes that every dataset, model, and prediction ultimately connects back to a real life, emphasizing the human moments behind the data.
Clinical Decision Support
Focuses on developing technology that helps clinicians see vital information earlier and make more informed choices for patient treatment.

Media Appearances

Daniel has no verified media appearances

Work History

2022
Director of Applied AI at Tempus AI
2020 - 2022
Associate Director, Applied AI at Tempus AI
2015 - 2020
Team Lead, Applied ML at Health Catalyst
2010 - 2015
Senior Machine Learning Engineer at Health Catalyst
2004 - 2010
Machine Learning Engineer at Explorys, an IBM Company

Education

Bachelor of Science - BS from Columbia University
Master of Science - MS from University of Michigan

More Information

Social Presence :

Prographics :

Exp : 26 Location : United States Job Level : Mid-senior Designation : Director of Applied AI at Tempus AI
URL has been copied!

Insights For Selling To Daniel

During A Call Or A Meeting

DO's

  • Use phrases like ‘trust me when’, ‘your team will love’ etc.
  • Summarize the key points at the end of the conversation
  • If possible, involve their colleagues in the sales process

DONT's

  • Don’t get into excessive details unless prompted
  • Don’t give the impression of being unproven or risky
  • Don’t ask too many questions that sound too dry and objective

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Daniel is

  • Relationships can sway their decisions, followed by the low risk and the presence of good evidence.
  • Will you ever get a clear answer from Daniel

  • They are diplomatic when needed and rarely say no directly.

Insights For Deal Planning

    How fast (or slow) will Daniel move?

  • Even if they are engaged and friendly, they can take their time to make decisions.
  • Can Daniel take some risk or not?

  • They probably won’t put a lot at risk.

You And Daniel

Personality Compatibility


Other Tempus AI Employees

Explore more public profiles from related professionals at the same organization.

More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.