Jacob Calvert

PhD Student

University of California, Berkeley

Biography

I’m a PhD student in UC Berkeley’s probability group and Chief Scientist of Dascena, a startup using machine learning to predict the onset of life-threatening conditions. Previously, I held a Marshall Scholarship and studied DNA topology. I’m mainly interested in interacting particle systems, KPZ universality, and line ensembles.

Education

PhD in Statistics, 2022

University of California, Berkeley
MSc in Mathematical and Theoretical Physics, 2017

University of Oxford
MSc in Mathematical Sciences, 2016

University of Bristol
BS in Bioengineering, 2015

University of Illinois at Urbana-Champaign

Selected Publications

Using transfer learning for improved mortality prediction in a data-scarce hospital setting

We develop a mortality prediction algorithm which outperforms existing methods, and apply transfer learning to overcome the barrier of data scarcity during site implementation.

Thomas Desautels, Jacob Calvert, Jana Hoffman, Qingqing Mao, Melissa Jay, Grant Fletcher, Christopher Barton, Uli Chettipally, Yaniv Kerem, Ritankar Das

In Biomedical Informatics Insights

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A computational approach to early sepsis detection

Sepsis can be predicted hours in advance of onset, using only vital signs, with better performance than methods in standard practice today. High-order correlations between vital signs are key.

Jacob Calvert, Daniel Price, Uli Chettipally, Christopher Barton, Mitchell Feldman, Jana Hoffman, Melissa Jay, Ritankar Das

In Computers in Biology and Medicine

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G-quadruplex formation in double strand DNA probed by NMM and CV fluorescence

We develop a rapid mix-and-measure method for identifying and classifying potential G-quadruplex-forming sequences in the human genome.

Alex Krieg, Jacob Calvert, Janet Sanoica, Emily Cullum, Ramreddy Tipanna, Sua Myong

In NAR

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Telomeric overhang length determines structural dynamics and accessibility to telomerase and ALT-associated proteins

Our results suggest telomeric overhang length and dynamics may contribute to the regulation of telomere extension via telomerase action and the ALT mechanism.

Helen Hwang, Alex Kreig, Jacob Calvert, Justin Lormand, Yongho Kwon, James Daley, Patrick Sung, Patricia Opresko, Sua Myong

In Structure

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Recent Publications

More Publications

Using transfer learning for improved mortality prediction in a data-scarce hospital setting
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Cost and mortality impact of an algorithm-driven sepsis prediction system
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Using electronic health record collected clinical variables to predict medical intensive care unit mortality
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Prediction of sepsis in the intensive care unit with minimal electronic health record data: a machine learning approach
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A computational approach to mortality prediction of alcohol use disorder inpatients
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A computational approach to early sepsis detection
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High-performance detection and early prediction of septic shock for alcohol-use disorder patients
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Quantitative analysis and prediction of G-quadruplex forming sequences in double-stranded DNA
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Discharge recommendation based on a novel technique of homeostatic analysis
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G-quadruplex formation in double strand DNA probed by NMM and CV fluorescence
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Contact

jacob_calvert@berkeley.edu
451 Evans Hall, Berkeley, CA, 94709, USA