Emanuele is a Machine Learning Researcher at Apple and a Doctoral Fellow at the ETH AI Center, where he is also completing his PhD. His research focuses on generative models, multimodal learning, and AI applications in healthcare, specifically using wearable signals for cardiovascular health. He earned his Masters degree from ETH Zürich.
Outside of his primary research, Emanuele has a passion for music, enjoying making acoustic covers with his voice and guitar. He also actively contributes to the academic community by organizing workshops at major AI conferences like ICLR and NeurIPS.
He has been recognized as a Top Reviewer by the prestigious NeurIPS conference for two consecutive years.
Emanuele Palumbo
Machine Learning Researcher at Apple
Zurich, Zurich, Switzerland
Overview
Topics They Care About
Generative AI Models
His PhD research and multiple publications focus on designing and improving deep generative models, including diffusion models and multimodal variational autoencoders (VAEs).
AI in Healthcare
His work at Apple and ETH involves applying AI to the health domain, particularly for non-invasive cardiovascular monitoring using wearable sensor data like photoplethysmography (PPG).
Multimodal Learning
A core interest and specialization, he researches how to design models that can handle and learn from a large number of diverse data modalities.
Media Appearances
Emanuele has no verified media appearances
Work History
4-2025
Machine Learning Researcher at Apple
5-2022
Doctoral Fellow at ETH AI Center
Education
5-2022 - 11-2026
Doctor of Philosophy - PhD from ETH Zürich
9-2018 - 9-2021
Master of Science - MS from ETH Zürich
More Information
Social Presence :
Prographics :
Exp : 3
Location : Zurich, Zurich, Switzerland
Job Level : Mid-senior
Designation : Machine Learning Researcher at Apple
