David Wind

Senior Director of Product

2023 - Current

Angel Investor

2019

Investing in technology startups. Future Fields. Creizer. Simplifyd. Hydra. Teacherspace. FiberAI. Olio. ClassBank. Proemial.

Venture Partner

2019

Funding selected YC companies of every batch.

Co-founder and CEO

2015 - 2023

Eduflow is a tool to build and run any kind of learning experience online. Combine a wide range of learning activities together in a learning flow, including videos, submissions and peer reviews. Eduflow can be used for teaching online courses, for onboarding, for sales training - any learning experience you can imagine. Acquired in May 2023 by Multiverse.

PhD Student

2014 - 2018

The title of my PhD project is “Statistical Models for WiFi Data and Educational Peer Review” and it is supervised by Ole Winther and co-supervised by Sune Lehmann. I taught the course Computational Tools for Big Data with a curriculum that includes MapReduce, Apache Spark, Deep Learning and Graph Databases. The course had 150 students for 3 years.

External Consultant

2014 - 2015

"David Kofoed Wind has been working on two assignments within Maersk Line. The purpose has been to work on optimizing statistical models applying around 21.000.000 data points. For further questions related to this assignment please contact Kristina Schoemmel (Kristina.Schoemmel@maersk.com) or Mikkel Thoger Ib Hansen (Mikkel.Thoger.Ib.Hansen@maersk.com)"

Assistant Teacher

2009 - 2013

I have been assistant teacher in the following courses: 02402 Introduction to Statistics 01227 Graph Theory 1 (2 times) 42841 Programming and automation 02105 Algorithms and Data Structures 1 (2 times) 02110 Algorithms and Data Structures 2 (2 times) 02121 Engineering Practice (2 times) 02102 Introductionary Programming (2 times)

Summer Student

2013 - 2013

Lectures about particle physics and data analysis together with a research project. Project descripton: Runtime-provisioning of ROOT's I/O type binding: ROOT is the LHC physicists' common tool for data analysis; almost all data is stored using ROOT's I/O system. This system benefits from a custom description of types that is optimized for the I/O. Until now, the description cannot be provided at runtime; it needs to be prepared in a separate prerequisite step. This project will move the generation of the description to runtime, making use of ROOT 6's new just-in-time compiler. It allows a more dynamic and natural access to ROOT's I/O features especially for user code.

Research Officer

2012 - 2013

I worked with Aleksandar Ignjatovic on methods for recommender systems, robust rating and methods for asset allocation in computational finance.

Software Developer

2011 - 2012

Development of the core system in large .NET solutions for companies in the insurance and pension business, using C# and Windows Presentation Foundation.