Marcin Sieniek
Marcin Sieniek is a Staff Software Engineer at Google Research. His notable projects at Google include mammography AI, maternal ultrasound AI, large multimodal models for language-aligned medical imaging AI (ELIXR), LLM agents for geo (launched as Gemini capabilities in Google Earth) and for medical records. Currently he works on Gemini Factuality. He has published over 20 peer reviewed publications, including co-lead authorship of a paper in Nature. He received his PhD in Computer Science from AGH University of Science and Technology in Krakow, Poland, while also completing a second major in Business Administration from Cracow University of Economics. Prior to Google he co-founded a VC-backed startup, MailGrupowy.pl and remains an active business angel.
Authored Publications
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Google
Triaging mammography with artificial intelligence: an implementation study
Sarah M. Friedewald
Sunny Jansen
Fereshteh Mahvar
Timo Kohlberger
David V. Schacht
Sonya Bhole
Dipti Gupta
Scott Mayer McKinney
Stacey Caron
David Melnick
Mozziyar Etemadi
Samantha Winter
Alejandra Maciel
Luca Speroni
Martha Sevenich
Arnav Agharwal
Rubin Zhang
Gavin Duggan
Shiro Kadowaki
Atilla Kiraly
Jie Yang
Basil Mustafa
Krish Eswaran
Shravya Shetty
Breast Cancer Research and Treatment (2025)
General Geospatial Inference with a Population Dynamics Foundation Model
Chaitanya Kamath
Prithul Sarker
Joydeep Paul
Yael Mayer
Sheila de Guia
Jamie McPike
Adam Boulanger
David Schottlander
Yao Xiao
Manjit Chakravarthy Manukonda
Monica Bharel
Von Nguyen
Luke Barrington
Niv Efron
Krish Eswaran
Shravya Shetty
(2024) (to appear)
Development of a Machine Learning Model for Sonographic Assessment of Gestational Age
Chace Lee
Angelica Willis
Christina Chen
Amber Watters
Bethany Stetson
Akib Uddin
Jonny Wong
Rory Pilgrim
Kat Chou
Shravya Ramesh Shetty
Ryan Gomes
JAMA Network Open (2023)
Enhancing diagnostic accuracy of medical AI systems via selective deferral to clinicians
Dj Dvijotham
Jim Winkens
Melih Barsbey
Sumedh Ghaisas
Robert Stanforth
Nick Pawlowski
Patricia Strachan
Zahra Ahmed
Yoram Bachrach
Laura Culp
Jan Freyberg
Christopher Kelly
Atilla Kiraly
Timo Kohlberger
Scott Mayer McKinney
Basil Mustafa
Krzysztof Geras
Jan Witowski
Zhi Zhen Qin
Jacob Creswell
Shravya Shetty
Terry Spitz
Taylan Cemgil
Nature Medicine (2023)
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Shawn Xu
Lin Yang
Christopher Kelly
Timo Kohlberger
Martin Ma
Atilla Kiraly
Sahar Kazemzadeh
Zakkai Melamed
Jungyeon Park
Patricia MacWilliams
Chuck Lau
Christina Chen
Mozziyar Etemadi
Sreenivasa Raju Kalidindi
Kat Chou
Shravya Shetty
Daniel Golden
Rory Pilgrim
Krish Eswaran
arxiv (2023)
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
Ryan Gomes
Bellington Vwalika
Chace Lee
Angelica Willis
Joan T. Price
Christina Chen
Margaret P. Kasaro
James A. Taylor
Elizabeth M. Stringer
Scott Mayer McKinney
Ntazana Sindano
William Goodnight, III
Justin Gilmer
Benjamin H. Chi
Charles Lau
Terry Spitz
Kris Liu
Jonny Wong
Rory Pilgrim
Akib Uddin
Lily Hao Yi Peng
Kat Chou
Jeffrey S. A. Stringer
Shravya Ramesh Shetty
Communications Medicine (2022)
Supervised Transfer Learning at Scale for Medical Imaging
Aaron Loh
Basil Mustafa
Jan Freyberg
Neil Houlsby
Patricia MacWilliams
Megan Wilson
Scott Mayer McKinney
Jim Winkens
Peggy Bui
Umesh Telang
ArXiV (2021)
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney
Varun Yatindra Godbole
Jonathan Godwin
Natasha Antropova
Hutan Ashrafian
Trevor John Back
Mary Chesus
Ara Darzi
Mozziyar Etemadi
Florencia Garcia-Vicente
Fiona J Gilbert
Mark D Halling-Brown
Demis Hassabis
Sunny Jansen
Christopher Kelly
Dominic King
David Melnick
Hormuz Mostofi
Lily Hao Yi Peng
Joshua Reicher
Bernardino Romera Paredes
Richard Sidebottom
Mustafa Suleyman
Kenneth C. Young
Jeffrey De Fauw
Shravya Ramesh Shetty
Nature (2020)
