Most fields of research produce new knowledge. Instead, we focus on making better decisions based on available data and advanced modeling techniques. We use interdisciplinary approaches, including theory and natural experiments, to inform medical and public health decision-making. Our focus, Decision Analysis in Health, aims to inform policies and real-time clinical decisions, including the social and environmental determinants of health.
Diego Martinez
2017-present
diego.martinez.c@pucv.cl, dmart101@jhmi.edu
Diego did his PhD at South Florida with Jose Zayas-Castro, and his postdoc with Scott Levin at Johns Hopkins. He is Chilean.
2017-present
diego.martinez.c@pucv.cl, dmart101@jhmi.edu
Diego did his PhD at South Florida with Jose Zayas-Castro, and his postdoc with Scott Levin at Johns Hopkins. He is Chilean.
Alonso Peña
2022-Present
alonso.pena.d@mail.pucv.cl
Alonso is an undergrad student of industrial engineering at PUCV. He is performing a systematic literature review on the use of game theory models in healthcare.
2022-Present
alonso.pena.d@mail.pucv.cl
Alonso is an undergrad student of industrial engineering at PUCV. He is performing a systematic literature review on the use of game theory models in healthcare.
Maximiliano Barra
2022-Present
maximiliano.barra.t@mail.pucv.cl
Max is an undergrad student of industrial engineering at PUCV. He is developing ML-based classifiers to detect high acuity/work-intensity patients in the ED.
2022-Present
maximiliano.barra.t@mail.pucv.cl
Max is an undergrad student of industrial engineering at PUCV. He is developing ML-based classifiers to detect high acuity/work-intensity patients in the ED.
Luis Lillo
2021-Present
luis.lillo@pucv.cl
Luis is a PhD student of industrial engineering at PUCV. He is developing new methods to fairly evaluate and compare the performance of emergency medical services worldwide.
2021-Present
luis.lillo@pucv.cl
Luis is a PhD student of industrial engineering at PUCV. He is developing new methods to fairly evaluate and compare the performance of emergency medical services worldwide.
Cassandra Parent
2020-Present
cparent5@jhu.edu
Cassie obtained a biomedical engineering and a computer science BA at Johns Hopkins. She built data infrastructure and is developing mechanistic models to understand the spread of SARS-CoV-2 in vulnerable populations of Baltimore. Insights from his work are guiding our Johns Hopkins Health System efforts to control COVID-19.
Now a Data Scientist with Johns Hopkins Medicine
2020-Present
cparent5@jhu.edu
Cassie obtained a biomedical engineering and a computer science BA at Johns Hopkins. She built data infrastructure and is developing mechanistic models to understand the spread of SARS-CoV-2 in vulnerable populations of Baltimore. Insights from his work are guiding our Johns Hopkins Health System efforts to control COVID-19.
Now a Data Scientist with Johns Hopkins Medicine
Shengwei (Nicky) Zhang
2020-Present
szhan125@jhu.edu
Nicky majored in applied math and computer science at Johns Hopkins. He developed and deployed systems to optimize the flow of surgical patients at The Johns Hopkins Hospital.
Now a MSc student at MIT
2020-Present
szhan125@jhu.edu
Nicky majored in applied math and computer science at Johns Hopkins. He developed and deployed systems to optimize the flow of surgical patients at The Johns Hopkins Hospital.
Now a MSc student at MIT
Jong Shin
2020-2021
jshin69@jhu.edu
Jong obtained his MS in biomedical engineering at Johns Hopkins. He built data infrastructure to investigate the causal effects of our health system efforts to control COVID-19 in vulnerable areas of Baltimore.
Now a Machine Learning Engineer with Academic Software Engineer
2020-2021
jshin69@jhu.edu
Jong obtained his MS in biomedical engineering at Johns Hopkins. He built data infrastructure to investigate the causal effects of our health system efforts to control COVID-19 in vulnerable areas of Baltimore.
Now a Machine Learning Engineer with Academic Software Engineer
Ivan Portnoy
2019
iportnoy@uninorte.edu.co
Ivan was a visiting PhD student of mechanical engineering at Uninorte, Colombia. He investigated the epidemic processes by which antibiotic-resistant bacteria spreads over dynamic networks of contacts between humans.
Now an Assistant Professor with Universidad de la Costa
2019
iportnoy@uninorte.edu.co
Ivan was a visiting PhD student of mechanical engineering at Uninorte, Colombia. He investigated the epidemic processes by which antibiotic-resistant bacteria spreads over dynamic networks of contacts between humans.
Now an Assistant Professor with Universidad de la Costa
Gan Shi
2019
gshi10@jhu.edu
Gan obtained his MS in informatics at Johns Hopkins. He built multilevel regression models to measure the association of timely inpatient discharge with length-of-stay and 30-day readmissions.
Now a Data Scientist in Deloitte
2019
gshi10@jhu.edu
Gan obtained his MS in informatics at Johns Hopkins. He built multilevel regression models to measure the association of timely inpatient discharge with length-of-stay and 30-day readmissions.
Now a Data Scientist in Deloitte
Nicolas Martinez
2019
n.martinez07@ufromail.cl
Nicolas obtained his BS in industrial engineering with a minor in computer science at UFRO, Chile. He applied statistical learning methods to investigate drivers of prolonged waiting in Chilean public hospitals.
Now an entrepreneur in Chile
2019
n.martinez07@ufromail.cl
Nicolas obtained his BS in industrial engineering with a minor in computer science at UFRO, Chile. He applied statistical learning methods to investigate drivers of prolonged waiting in Chilean public hospitals.
Now an entrepreneur in Chile
Haoxiang Zhang
2018
hzhan109@jhu.edu
Haoxiang obtained his MSc in applied math from Johns Hopkins. He developed methods to more accurately triage patients in waiting lists of Chilean public hospitals. Also, he contributed to the deployment of machine learning-based models for predicting the onset of acute kidney injury at The Johns Hopkins Hospital.
Now a Data Scientist in Paul Fredrick
2018
hzhan109@jhu.edu
Haoxiang obtained his MSc in applied math from Johns Hopkins. He developed methods to more accurately triage patients in waiting lists of Chilean public hospitals. Also, he contributed to the deployment of machine learning-based models for predicting the onset of acute kidney injury at The Johns Hopkins Hospital.
Now a Data Scientist in Paul Fredrick
Jiarui Cai
2017-2018
jcai11@jhu.edu
Jiarui obtained her MSc in applied math from Johns Hopkins. She developed decision support systems for dynamic fleet management and probabilistic models of infectious disease transmission at The Johns Hopkins Hospital.
Now a Data Scientist in Resurgent Capital Services
2017-2018
jcai11@jhu.edu
Jiarui obtained her MSc in applied math from Johns Hopkins. She developed decision support systems for dynamic fleet management and probabilistic models of infectious disease transmission at The Johns Hopkins Hospital.
Now a Data Scientist in Resurgent Capital Services
Collaborators
Aaron Milstone, Johns Hopkins
Carlton Evans, Imperial College
Diana Prieto, Johns Hopkins
Eili Klein, Johns Hopkins
Felipe Feijoo, PUCV
Gary Lin, CDDEP
Jeremiah Hinson, Johns Hopkins
Jorge Acuna, USF
Jose Zayas-Castro, USF
Justin Lessler, Johns Hopkins
Kathleen Page, Johns Hopkins
Kimia Ghobadi, Johns Hopkins
Rajib Paul, UNC Charlotte
Rodrigo Martinez, U of Chile
Scott Levin, Johns Hopkins
Sriram Sankaranarayanan, IIM Ahmedabad
Sumona Datta, Imperial College
Aaron Milstone, Johns Hopkins
Carlton Evans, Imperial College
Diana Prieto, Johns Hopkins
Eili Klein, Johns Hopkins
Felipe Feijoo, PUCV
Gary Lin, CDDEP
Jeremiah Hinson, Johns Hopkins
Jorge Acuna, USF
Jose Zayas-Castro, USF
Justin Lessler, Johns Hopkins
Kathleen Page, Johns Hopkins
Kimia Ghobadi, Johns Hopkins
Rajib Paul, UNC Charlotte
Rodrigo Martinez, U of Chile
Scott Levin, Johns Hopkins
Sriram Sankaranarayanan, IIM Ahmedabad
Sumona Datta, Imperial College
