Christopher Langmead

Christopher Langmead

Carnegie Mellon University

H-index: 26

North America-United States

About Christopher Langmead

Christopher Langmead, With an exceptional h-index of 26 and a recent h-index of 14 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Computer Science, Computational Medicine, Computational Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Recent advances in generative biology for biotherapeutic discovery

Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies

Peptide Binding Classification on Quantum Computers

Identifying promising sequences for protein engineering using a deep transformer protein language model

AI can help to speed up drug discovery—but only if we give it the right data

Building the foundation for a community-generated national research blueprint for inherited bleeding disorders: facilitating research through infrastructure, workforce …

Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment

Deep normed embeddings for patient representation

Christopher Langmead Information

University

Position

School of Computer Science

Citations(all)

3157

Citations(since 2020)

1015

Cited By

2613

hIndex(all)

26

hIndex(since 2020)

14

i10Index(all)

46

i10Index(since 2020)

19

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Christopher Langmead Skills & Research Interests

Machine Learning

Computer Science

Computational Medicine

Computational Biology

Top articles of Christopher Langmead

Title

Journal

Author(s)

Publication Date

Recent advances in generative biology for biotherapeutic discovery

Marissa Mock

Christopher James Langmead

Peter Grandsard

Suzanne Edavettal

Alan Russell

2024/1/31

Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies

MAbs

Marissa Mock

Alex W Jacobitz

Christopher James Langmead

Athena Sudom

Daniel Yoo

...

2023/12/31

Peptide Binding Classification on Quantum Computers

arXiv preprint arXiv:2311.15696

Charles London

Douglas Brown

Wenduan Xu

Sezen Vatansever

Christopher James Langmead

...

2023/11/27

Identifying promising sequences for protein engineering using a deep transformer protein language model

Proteins: Structure, Function, and Bioinformatics

Trevor S Frisby

Christopher James Langmead

2023/11

AI can help to speed up drug discovery—but only if we give it the right data

Nature

Marissa Mock

Suzanne Edavettal

Christopher Langmead

Alan Russell

2023/9/21

Building the foundation for a community-generated national research blueprint for inherited bleeding disorders: facilitating research through infrastructure, workforce …

Diane Nugent

Suchitra S Acharya

Kimberly J Baumann

Camille Bedrosian

Rebecca Bialas

...

2023/3/15

Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment

PLOS Digital Health

Thesath Nanayakkara

Gilles Clermont

Christopher James Langmead

David Swigon

2022/2/17

Deep normed embeddings for patient representation

arXiv preprint arXiv:2204.05477

Thesath Nanayakkara

Gilles Clermont

Christopher James Langmead

David Swigon

2022/4/12

Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data

BMC bioinformatics

Trevor S Frisby

Shawn J Baker

Guillaume Marçais

Quang Minh Hoang

Carl Kingsford

...

2021/12

Asynchronous parallel Bayesian optimization for AI-driven cloud laboratories

Bioinformatics

Trevor S Frisby

Zhiyun Gong

Christopher James Langmead

2021/7/1

Bayesian optimization with evolutionary and structure-based regularization for directed protein evolution

Algorithms for Molecular Biology

Trevor S Frisby

Christopher James Langmead

2021/7/1

A novel 5-cytokine panel outperforms conventional predictive markers of persistent organ failure in acute pancreatitis

Clinical and translational gastroenterology

Christopher Langmead

Peter J Lee

Pedram Paragomi

Phil Greer

Kim Stello

...

2021/5/1

Electronic system with a data engine for processing retrieved data in displaying graphical data for a graphical user interface on an external input/output device

2020/2/6

Fold family-regularized bayesian optimization for directed protein evolution

Trevor S Frisby

Christopher J Langmead

2020

See List of Professors in Christopher Langmead University(Carnegie Mellon University)

Co-Authors

H-index: 173
Klaus Schulten

Klaus Schulten

University of Illinois at Urbana-Champaign

H-index: 126
Markus M. Lerch

Markus M. Lerch

Ernst-Moritz-Arndt-Universität Greifswald

H-index: 114
Eric Xing

Eric Xing

Carnegie Mellon University

H-index: 101
David Whitcomb

David Whitcomb

University of Pittsburgh

H-index: 65
Vikesh K. Singh, MD, MSc

Vikesh K. Singh, MD, MSc

Johns Hopkins University

H-index: 64
Gilles Clermont

Gilles Clermont

University of Pittsburgh

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