Employment

UNDP

UNDP Accelerator Labs
Role: NLP Researcher

UNDP — Apr, 2023 – current
Foundations of Data Science

Foundations of Data Science
Role: Adjunct Professor

New York University — Sep, 2021 – Dec, 2021
Accern

Accern
Role: VP of Data Science

Accern Corp. — Jun, 2018 – Jan, 2023

2024

UN Datathon 2023

UN Datathon 2023
Project: Josua Krause, Jeremy Boy, Rafael Cuñat, Evan Wheeler, Shouryadipta Sarkar

UN Mercatorians — Jan 18, 2024
[page] Best European Team Best Solution using AIS Data

2023

RediPy

RediPy
Project: Josua Krause

GitHub — Oct 15, 2023
[page] [github] [article]
Dot Product is a Bad Distance Function

Dot Product is a Bad Distance Function
Blog: Josua Krause

Medium — Jul 26, 2023
[page]
Searchspace

Searchspace
Project: Josua Krause

GitHub — Jul 26, 2023
[page] [github]
Asymmetric Topic Models

Asymmetric Topic Models
Blog: Josua Krause

Medium — Jun 29, 2023
[page]
Dream Big, Little Girl: A Book about Science, Technology, and Art for Young Girls

Dream Big, Little Girl: A Book about Science, Technology, and Art for Young Girls
Book: Narges Sharif Razavian, Josua Krause

Amazon — Mar 8, 2023
[page] [bibtex]
Capstone Project: NYU CDS

Capstone Project: NYU Center for Data Science
Mentoring: Mentor

NYU Center for Data Science — 2023
[external]

2022

VIS Short Papers

Short Papers Track of IEEE VIS
Committee: Program Committee

VIS Short Papers — Oct 21, 2022
[external]
VIS

IEEE VIS
Committee: Reviewer

VIS — Oct 21, 2022
[external]
EuroVis

EuroVis
Committee: Reviewer

EuroVis — Jun 17, 2022
[external]
UNDP AI4CI

AI4CI: Artificial Intelligence for Collective Intelligence
Teaching: Invited Talk

UNDP Accelerator Labs — Jun 14, 2022
[external]
US 11,355,246

Identifying and ranking risk factors using trained predictive models (US Patent 11,355,246)
Patent: Josua Krause, Kenney Ng, Adam Perer

United States Patent (US 11,355,246 B2) — Jun 7, 2022
[external]
US 11,355,245

Identifying and ranking risk factors using trained predictive models (US Patent 11,355,245)
Patent: Josua Krause, Kenney Ng, Adam Perer

United States Patent (US 11,355,245 B2) — Jun 7, 2022
[external]
JCGS

Journal of Computational and Graphical Statistics
Committee: Journal Reviewer

JCGS — 2022
[external]

2021

VIS Short Papers

Short Papers Track of IEEE VIS
Committee: Program Committee

VIS Short Papers — Oct 29, 2021
[external]
VIS

IEEE VIS
Committee: Program Committee

VIS — Oct 29, 2021
[external]
Adaptive Modeling: Building Models that Last

Adaptive Modeling: Building Models that Last
Blog: Josua Krause

Accern — Feb 3, 2021
[page]
JCGS

Journal of Computational and Graphical Statistics
Committee: Journal Reviewer

JCGS — 2021
[external]
Transactions on Big Data

IEEE Transactions on Big Data
Committee: Journal Reviewer

Transactions on Big Data — 2021
[external]

2020

VIS Short Papers

Short Papers Track of IEEE VIS
Committee: Program Committee, Session Chair

VIS Short Papers — Oct 30, 2020
[video] [external]
EuroVis

EuroVis
Committee: Reviewer

EuroVis — May 29, 2020
[external]
Capstone Project: NYU CDS

Capstone Project: NYU Center for Data Science
Mentoring: Mentor

NYU Center for Data Science — 2020
[external]
Capstone Project: Columbia University

Capstone Project: Columbia University
Mentoring: Mentor

Columbia University — 2020
[external]

2019

InfoVis

IEEE Information Visualization
Committee: Reviewer

InfoVis — Oct 25, 2019
[external]
EuroVis

EuroVis
Committee: Reviewer

EuroVis — Jun 7, 2019
[external]
ACM CHI

ACM CHI Conference on Human Factors in Computing Systems
Committee: Associate Chair

CHI — May 9, 2019
[external]
DEBUGML

ICLR Workshop on Debugging Machine Learning Models
Committee: Program Committee

DEBUGML — May 6, 2019
[external]
Capstone Project: NYU CDS

Capstone Project: NYU Center for Data Science
Mentoring: Mentor

NYU Center for Data Science — 2019
[external]

2018

InfoVis

IEEE Information Visualization
Committee: Reviewer

InfoVis — Oct 26, 2018
[external]
Study on Aggregating Explanations for Interpreting Models

A User Study on the Effect of Aggregating Explanations for Interpreting Machine Learning Models
Poster / Workshop: Josua Krause, Adam Perer, Enrico Bertini

Interactive Data Exploration and Analytics (IDEA 2018) — Aug 20, 2018
[page] [demo] [pdf] [slides] [external] [bibtex]
VIS for Practice Workshop

VIS for Practice Workshop — Visualization for the Web: Front- & Backends
Teaching: Workshop

Universität Konstanz — Aug 7, 2018
NCN: OPUS Grant Proposal

OPUS Grant Proposal, National Science Center, Poland
Committee: Grant Proposal Reviewer

NCN — Apr 15, 2018
[external]
PacificVis

IEEE Pacific Visualization Symposium
Committee: Reviewer

PacificVis — Apr 13, 2018
[external]
Using VA to Explain Black-Box ML

Using Visual Analytics to Explain Black-Box Machine Learning
Thesis: Josua Krause

PhD Thesis, NYU Tandon School of Engineering — Mar 15, 2018
[pdf]

2017

React Tutorial for Visualizations

React Tutorial for Visualizations
Project: Josua Krause

NYU Tandon School of Engineering — Oct 16, 2017
[github]
InfoVis

IEEE Information Visualization
Committee: Reviewer

InfoVis — Oct 6, 2017
[external]
Explainer

A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations
Publication: Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini

IEEE Transactions on Visualization and Computer Graphics (VAST 2017) — Oct, 2017
[page] [demo] [pdf] [video] [talk] [github] [slides] [bibtex]
VAHC

Workshop on Visual Analytics in Healthcare
Committee: Program Committee, Web Chair

VAHC — Oct 1, 2017
[external]
Foundations of Data Science

Foundations of Data Science
Teaching Assistant: Teaching Assistant

NYU Tandon School of Engineering — Sep, 2017
Rivelo

Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations
Poster / Workshop: Paolo Tamagnini, Josua Krause, Aritra Dasgupta, Enrico Bertini

Workshop on Human-In-the-Loop Data Analytics (HILDA 2017) — May 14, 2017
[demo] [pdf] [github] [external] [bibtex]

2016

Visual Analytics Explanations for Machine Learning

Explanatory Visual Analytics for Enhancing Human Interpretability of Machine Learning Models
Poster / Workshop: Josua Krause, Aritra Dasgupta, Enrico Bertini

Visualization in Data Science (VDS at IEEE VIS 2016) — Oct 24, 2016
[page] [slides] [external]
SeekAView

SeekAView: An Intelligent Dimensionality Reduction Strategy for Navigating HD Data Spaces
Publication: Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini

IEEE Symposium on Large Data Analysis and Visualization (LDAV) — Oct 23, 2016
[page] [demo] [pdf] [bibtex]
Quick Server

Quick Server
Project: Josua Krause

PyPI — Sep 15, 2016
[page] [github]
Quick Cache

Quick Cache
Project: Josua Krause

PyPI — Sep 15, 2016
[page] [github]
Information Visualization

Information Visualization
Teaching Assistant: Teaching Assistant

NYU Tandon School of Engineering — Sep, 2016
Prospector

Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models
Poster / Workshop: Josua Krause, Adam Perer, Kenney Ng

Interactive Data Exploration and Analytics (IDEA) 2016 — Aug 14, 2016
[page] [pdf]
Using Visual Analytics to Interpret Predictive Machine Learning Models

Using Visual Analytics to Interpret Predictive Machine Learning Models
Poster / Workshop: Josua Krause, Adam Perer, Enrico Bertini

2016 ICML Workshop on Human Interpretability in Machine Learning — Jun 22, 2016
[page] [pdf] [slides] [poster]
EuroVis

EuroVis
Committee: Reviewer

EuroVis — Jun 10, 2016
[external]
Bubble Sets for JavaScript

Bubble Sets for JavaScript
Project: Josua Krause

GitHub — June, 2016
[page] [github]
Towards Understanding Human Similarity Perception in the Analysis of Large Sets of Scatter Plots

Towards Understanding Human Similarity Perception in the Analysis of Large Sets of Scatter Plots
Publication: Anshul Vikram Pandey, Josua Krause, Cristian Felix, Jeremy Boy, Enrico Bertini

ACM CHI 2016 — May, 2016
[pdf] [external] [bibtex] Best Paper Award: Honorable Mention
Information Visualization

Information Visualization
Teaching Assistant: Teaching Assistant

NYU Tandon School of Engineering — Feb, 2016

2015

Visual Exploration of Temporal Data in Electronic Medical Records

Visual Exploration of Temporal Data in Electronic Medical Records
Poster / Workshop: Josua Krause, Narges Razavian, Enrico Bertini, David Sontag

AMIA Annual Symposium (Poster) — Nov 16, 2015
[poster]
D3 Tutorial on Electronic Health Records

D3 Tutorial on Electronic Health Records — Introduction to Visual Analytics in Healthcare
Teaching: Hands-on Tutorial Session

AMIA Annual Symposium — Nov 15, 2015
[github]
InfoVis

IEEE Information Visualization
Committee: Reviewer

InfoVis — Oct 30, 2015
[external]
Visual Inspection of Longitudinal Electronic Medical Records

Visual Inspection of Longitudinal Electronic Medical Records
Poster / Workshop: Josua Krause, Narges Razavian, Enrico Bertini, David Sontag

Visual Analytics in Health Care (Workshop) — Oct 25, 2015
[slides]
Data-Driven Cohort Construction with Interactive Visual Queries

Data-Driven Cohort Construction with Interactive Visual Queries
Poster / Workshop: Josua Krause, Adam Perer

Visual Analytics in Health Care (Workshop) — Oct 25, 2015
COQUITO

Supporting Iterative Cohort Construction with Visual Temporal Queries
Publication: Josua Krause, Adam Perer, Harry Stavropoulos

IEEE Transactions on Visualization and Computer Graphics (VAST 2015) — Oct, 2015
[page] [pdf] [video] [slides] [bibtex]
Information Visualization

Information Visualization
Teaching Assistant: Teaching Assistant

NYU Tandon School of Engineering — Sep, 2015
mdsjs

mdsjs
Project: Josua Krause

GitHub — Jun, 2015
[page] [github]
curl-chk

curl-chk
Project: Josua Krause

GitHub — May, 2015
[github]
Information Visualization

Information Visualization
Teaching Assistant: Teaching Assistant

NYU Tandon School of Engineering — Feb, 2015
patient-viz

patient-viz
Project: Josua Krause, Narges Sharif Razavian, Enrico Bertini, David Sontag

GitHub — Jan, 2015
[github]
Transactions on Big Data

IEEE Transactions on Big Data
Committee: Journal Reviewer

Transactions on Big Data — 2015
[external]
Computer Graphics and Applications

IEEE Computer Graphics and Applications
Committee: Journal Reviewer

Computer Graphics and Applications — 2015
[external]

2014

INFUSE

INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data
Publication: Josua Krause, Adam Perer, Enrico Bertini

IEEE Transactions on Visualization and Computer Graphics (VAST 2014) — Oct, 2014
[pdf] [video] [github] [slides] [external] [bibtex]
jk-js

jk-js
Project: Josua Krause

GitHub — Sep, 2014
[page] [github]
INFUSE

INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data
Poster / Workshop: Josua Krause, Adam Perer, Enrico Bertini

Moore Sloan Poster Session NYU (Poster) — May, 2014
[external]
Graph Comics

Graph Comics: Interactive Staging for Exploring Dynamic Graphs
Thesis: Josua Krause

Master Thesis, Universität Konstanz — Mar 23, 2014
[pdf]

2013

mustache.xq

mustache.xq
Project: Josua Krause

GitHub — May, 2013
[github]

2012

JKanvas

JKanvas
Project: Josua Krause

GitHub — Jul, 2012
[github]
BusVis

Interactive Visualization for Real-Time Public Transport Journey Planning
Publication: Josua Krause, Marc Spicker, Leonard Wörteler, Matthias Schäfer, Leishi Zhang, Hendrik Strobelt

SIGRAD 2012 — Short Paper — 2012
[pdf] [github] [slides] [external] [bibtex]
Concepts of Computer Science

Concepts of Computer Science
Teaching Assistant: Teaching Assistant

Universität Konstanz — 2012

2011

Annotation of Changes in Evolving Graphs

Annotation of Changes in Evolving Graphs — Annotation veränderlicher Graphen
Thesis: Josua Krause

Bachelor Thesis, Universität Konstanz — Nov 10, 2011
[pdf]
Bubble Sets

Bubble Sets
Project: Josua Krause, Christopher Collins

GitHub — May, 2011
[github]
Concepts of Programming

Concepts of Programming
Teaching Assistant: Teaching Assistant

Universität Konstanz — 2011
Annotation of Changes in Evolving Graphs

Annotation of Changes in Evolving Graphs
Poster / Workshop: Josua Krause

Summer School Poster Session Universität Konstanz (Poster) — 2011