Oussama Elachqar

Machine Learning Engineer

I am currently a machine learning engineer & manager in the Apple Health AI team, focusing on Health foundation models. Before joining Apple, I worked at Twitter, Microsoft and Photobox, building production machine learning systems. My previous projects include large scale recommendation systems, multimodal open-domain conversational agents, handwriting recognition, detecting bias in images and text, and neural sequence-to-sequence models for A.I. writing assistance. My research interests include natural-language processing (NLP), large language models (LLM), computer vision, and recommendation systems.

Press

Microsoft launches its AI-powered notetaking app Journal as an official Windows app — Techcrunch

Microsoft Word’s AI wants to rewrite your crappy sentences — TheNextWeb

Microsoft officially outs another AI chatbot, called Zo — Techcrunch

Experience

Apple, Health AI — 2022-present

Twitter, Trends & Events — 2021-2022

Microsoft, Applied Sciences Group — 2019-2021

Microsoft Research, NLP Group — 2017-2019

Microsoft, US XiaoIce — 2016-2017

Photobox, Photo Science Team — 2014-2016

Publications

Large-scale Training of Foundation Models for Wearable Biosignals — ICLR, 2024

INSET: Sentence Infilling with INter-SEntential Transformer — ACL, 2020

Contextual Text Style Transfer — Findings of EMNLP, 2020

Multilingual Whispers: Generating Paraphrases with Translation — W-NUT, 2019

Patents

Conversation bot discovery and response fusion — Microsoft, 2017

Emotional intelligence for a conversational chatbot — Microsoft, 2017

Parsing an ink document using object-level and stroke-level processing — Microsoft, 2020

Detecting ink gestures based on spatial and image data processing — Microsoft, 2020