Portrait of Danyel Fisher

Danyel Fisher



I am a Researcher at Microsoft Research; my work centers on information and data visualization. I’m interested in how users can make use of visualization to better make sense of their data. My projects have worked with professional data analysts, with end-users, and with people who just happen to have had a lot of information dumped in their laps. My background is in human-computer interaction and computer-supported cooperative work.

Some of my current interests include:

Trying to better understand and enhance User Experiences with Big Data
Looking at ways to enhance Sequence Analysis
How Users Create and Interact with Data Visualizations

I received my MS from the University of California, Berkeley in 2000. I received my PhD from the University of California, Irvine in 2004, exploring social network analysis of email. I joined Microsoft Research in 2004; I work with the Visualization and Interaction for Business and Entertainment (MSR-VIBE) team.

Recent Public & Conference Talks

Making Sense of Data: How to Design Visualizations. IPAM Culture Analytics Workshop 2016

Why Exploring Big Data Is Hard (and What We Can Do About It). OpenVisConf 2015
What Designers and Data Scientists Can Learn from Each Other. Strata + Hadoop World 2015.
What Visualization is For: A Perceptual Overview, and a Handful of Examples. Invited Speaker, IHME Seminar Series. 2015.


Logan: Logfile Analysis

Established: October 12, 2015

Understanding Techniques and Tools for More Effective Telemetry and Log Data Analysis. Increasingly, business processes require data-driven real-time feedback based on large quantities of log data and customer telemetry from multiple sources. The Logan Project takes a…


Established: September 19, 2013

Trill is a high-performance in-memory incremental analytics engine. It can handle both real-time and offline data, and is based on a temporal data and query model. Trill can be used as a streaming engine, a lightweight in-memory relational engine, and…


Established: September 12, 2013

Tempe is a web service for exploratory data analysis. Below are images of the notebook pages mentioned in our submission to ICSE 2014.

Microsoft Research Data Visualization Apps for Office

Established: February 6, 2013

This project has now been concluded, and the apps have been deprecated. Thank you for your feedback! At Microsoft Research, we want to let users play with new types of visualizations. We’re doing it with Apps for Office, a new feature for…


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Agavue Data Sample

August 2016

The attached zip file consists are a sample data release for AgaVue data. They are meant as a representative of real event log features –warts and all. We intend this set to be a useful standard set for users working on visualizations and models of logfiles. This data is copyright 2016 Microsoft Corporation, and is released under…