Aleksander Øhrn

Partner Architect at Microsoft and Professor II at University of Oslo

Oslo, Norway

uio

no.linkedin.com

mn.uio.no

Summary

Aleksander Øhrn is a distinguished expert in information retrieval, search technology, and machine learning, evidenced by his foundational work at Fast Search & Transfer ASA, where he served as Chief Scientist, and his contributions to Microsoft's Bing search engine as a Principal Software Development Engineer. His academic background in computer science, including a PhD focusing on Rough Set Theory, underpins his deep technical understanding and innovative approach to complex data challenges. research-tree+1

His expertise extends to the application of Artificial Intelligence and machine learning in diverse fields, demonstrated by his role as a Partner Architect at Microsoft, where he applies these technologies to enhance people services, search, and graph services within the Office division. Furthermore, his tenure as CTO and Co-founder of Cxense focused on leveraging machine learning for data management, content personalization, and conversion optimization. uit+1

Aleksander is a prolific inventor, holding numerous patents and patent applications, many of which are assigned to Microsoft. His patented work spans areas such as people-centric digital memory systems, context-aware authoring assistance, and intelligent processing of user-connection data, highlighting his continuous innovation in creating intelligent and user-focused software solutions. justia

He combines his industrial leadership with a strong academic commitment, serving as a Professor II (Adjunct Professor) at the University of Oslo's Department of Informatics, specifically within the Research Group for Language Technology. This dual role allows him to contribute to both cutting-edge industry developments and the advancement of academic research. uio

Work

Education

Writing

People-Centric Digital Memory System for a Digital Assistant

January 1, 2025

Patent application for a digital memory system focusing on people-centric data for digital assistants.

patents.justia.com

System and Method of Providing Context-Aware Authoring Assistance

January 1, 2024

Patent application for a system that provides authoring assistance based on context.

patents.justia.com

Textual Summaries In Information Systems Based On Personalized Prior Knowledge

January 1, 2024

Patent application related to generating textual summaries in information systems, personalized based on prior knowledge.

patents.justia.com

PROXIMITY-TRIGGERED DELIVERY OF PEOPLE HIGHLIGHTS

January 1, 2024

Patent application for delivering people highlights based on proximity.

patents.justia.com

R.ROSETTA: an interpretable machine learning framework

January 1, 2021

A publication discussing an interpretable machine learning framework. Co-authored and published in BMC Bioinformatics.

mn.uio.no

ROSETTA technical reference manual

January 1, 2009

Describes the ROSETTA software system, a knowledge discovery toolkit based on rough sets, used in various fields including approximate classification, pattern recognition, process control, expert systems, and data mining.