Dan Klein

Sr. Research Manager

Dan Klein

Sr. Research Manager


Daniel J. Klein is Sr. Research Manager of the Applied Math Center, a cross-cutting team within IDM which supports modeling and analytics within IDM and on-behalf of our external partners. Since joining IDM in 2010, he has co-lead development of the EMOD-HIV model, published algorithms for stochastic model optimization and calibration, and presented modeling results to international stakeholders. Dr. Klein studied engineering at the Univ. of Wisconsin before earning a Ph.D. in Aeronautics & Astronautics with specialization in control theory from the Univ. of Washington. During 2018, he led various data science and strategy initiatives as a Senior Program Officer in the Global Development Strategy, Data, and Analytics team at the Bill & Melinda Gates Foundation. Prior to joining IDM, Dr. Klein was enjoying the sunshine of Santa Barbara, CA as a postdoctoral scholar with the Center for Control and Dynamical Systems at UCSB.

Biography

Daniel J. Klein is Sr. Research Manager of the Applied Math Center, a cross-cutting team within IDM which supports modeling and analytics within IDM and on-behalf of our external partners. Since joining IDM in 2010, he has co-lead development of the EMOD-HIV model, published algorithms for stochastic model optimization and calibration, and presented modeling results to international stakeholders. Dr. Klein studied engineering at the Univ. of Wisconsin before earning a Ph.D. in Aeronautics & Astronautics with specialization in control theory from the Univ. of Washington. During 2018, he led various data science and strategy initiatives as a Senior Program Officer in the Global Development Strategy, Data, and Analytics team at the Bill & Melinda Gates Foundation. Prior to joining IDM, Dr. Klein was enjoying the sunshine of Santa Barbara, CA as a postdoctoral scholar with the Center for Control and Dynamical Systems at UCSB.

Publications

Saturday, June 1, 2019
Stochastic computer simulations enable users to gain new insights into complex physical systems.
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Sunday, April 1, 2018
Our modeling suggests that co-location of high-risk populations and generalized epidemics can further amplify the spread of HIV, but that large numbers of formal FSW and clients are not required to ob
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Wednesday, August 2, 2017

The main focus of this work is on the use of PSPO to maximize the pseudo-likelihood of a stochastic epidemiological model to data from a 1861 measles outbreak in Hagelloch, Germany.

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Thursday, June 15, 2017

​Age of sexual partner is a major risk factor for HIV acquisition in both men and women, independent of one’s own age.​

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Monday, January 2, 2017
The VMMC program for HIV prevention has proven successful in reaching a large population of uncircumcised men in western Kenya, but as of 2014, pockets of low circumcision coverage still existed.​​
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Tuesday, April 5, 2016
Could future generations could be protected from HIV using a prevention "age fence," analogous to the ring-fencing strategies used to control the spread of smallpox?
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Thursday, October 1, 2015
Mathematical models are widely used to simulate the effects of interventions to control HIV and to project future epidemiological trends and resource needs.
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Monday, July 20, 2015

The South African government is currently discussing various alternative approaches to the further expansion of antiretroviral treatment (ART) in public-sector facilities.

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Thursday, July 2, 2015

Migrant populations such as mine workers contributed to the spread of HIV in sub-Saharan Africa.

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Thursday, May 21, 2015

In the last 20 years, China ramped up a DOTS (directly observed treatment, short-course)-based tuberculosis (TB) control program with 80% population coverage, achieving the 20

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Tuesday, April 21, 2015

In the last 20 years, China ramped up a DOTS (directly observed treatment, short-course)-based tuberculosis (TB) control program with 80% population coverage, achieving the 2015 Millennium Developm

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Monday, December 1, 2014
Using an individual-based mathematical model, we quantified the impact of EAG campaigns in terms of probability of elimination, reduction in polio transmission and age stratified immunity levels.
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Thursday, July 31, 2014

Decision makers need efficient algorithms to draw meaningful conclusions from detailed stochastic simulations with respect to a goal-oriented objective.

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Thursday, July 24, 2014

Evidence that antiretroviral therapy reduces HIV infectiousness, suggests that increasing the number of HIV-positive adults who are on treatment could have the potential to change the course of the

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Wednesday, January 1, 2014

Recent scientific findings have demonstrated the efficacy and effectiveness of antiretroviral therapy (ART) for preventing transmission in heterosexual partnerships.

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Wednesday, August 28, 2013

The difficulty of choosing a strategy for allocating transmission-blocking interventions stems from an incomplete picture of the epidemiological drivers of generalized HIV epidemics, such as the ep

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Monday, December 10, 2012

This paper presents an algorithm to form heterosexual relationships of a desired joint age–mixing distribution. It includes control of the rates at which individuals seek new relationshi

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Tuesday, July 10, 2012

Mathematical modelling is used to investigate the potential impact of treatment on HIV incidence but substantial uncertainties will remain because information on all the factors that could influenc

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Tuesday, July 10, 2012

Several mathematical models that simulate HIV infection and disease progression have been developed to investigate the impact of expanding access to ART on the incidence of HIV (the number of new i

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Sunday, June 17, 2012

The EMOD model for HIV was compared to several other HIV models in an article by Eaton et al. published in PLoS Medicine.

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