Edward Pyzer-Knapp

Chief Scientific Officer, Xyme

Joined

July 2019

Names

Edward Pyzer-Knapp

Edward O. Pyzer-Knapp

Emails

****@uk.ibm.com (Confirmed)

****@xyme.ai (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Chief Scientific Officer

Xyme (xyme.ai)

2024 – Present

Researcher

International Business Machines (ibm.com)

2015 – 2024

Postdoc

Harvard University (harvard.edu)

2014 – 2015

PhD student

University of Cambridge (cam.ac.uk)

2010 – 2013

Advisors, Relations & Conflicts

Postdoc Advisor

Alan Aspuru Guzik

2014 – 2015

Expertise

No areas of expertise listed

Publications

Bayesian Optimization for Field-Scale Geological Carbon Storage
Xueying Lu, Kirk E Jordan, Mary F Wheeler, Edward Pyzer-Knapp, Matthew Benatan
- Engineering
- Readers: Everyone
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
Clyde Fare, Lukas Turcani, Edward Pyzer-Knapp
- 01 Oct 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
A multi-fidelity machine learning approach to high throughput materials screening
Clyde Fare, Peter Fenner, Matthew Benatan, Alessandro Varsi, Edward Pyzer-Knapp
- 01 Oct 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets
Clyde Fare, Peter Fenner, Edward Pyzer-Knapp
- 01 Oct 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
Robert F Allison, Anthony Stephenson, Samuel F, Edward Pyzer-Knapp
- NeurIPS 2023 poster
- Readers: Everyone
A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes.
Anna Paola Carrieri, Will P. M. Rowe, Martyn D. Winn, Edward O. Pyzer-Knapp
- 2019 (modified: 10 Nov 2022)
- AAAI2019
- Readers: Everyone
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp, Alán Aspuru-Guzik
- 2017 (modified: 11 Nov 2022)
- ICML 2017
- Readers: Everyone

Edward Pyzer-Knapp

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Bayesian Optimization for Field-Scale Geological Carbon Storage

Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks

A multi-fidelity machine learning approach to high throughput materials screening

A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets

Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression

A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes.

Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space

Co-Authors