Diego A. Martínez
2017-present
diego.martinez.c@pucv.cl, dmart101@jhmi.edu
Diego is a Chilean-American scientist who earned his PhD from the University of South Florida under the guidance of Jose L. Zayas-Castro and completed his postdoctoral studies at Johns Hopkins with Scott R. Levin. Positioned at the intersection of data, models, and systems, his research is aimed at empowering healthcare leaders to optimize services, making them more efficient, affordable, and accessible.
2017-present
diego.martinez.c@pucv.cl, dmart101@jhmi.edu
Diego is a Chilean-American scientist who earned his PhD from the University of South Florida under the guidance of Jose L. Zayas-Castro and completed his postdoctoral studies at Johns Hopkins with Scott R. Levin. Positioned at the intersection of data, models, and systems, his research is aimed at empowering healthcare leaders to optimize services, making them more efficient, affordable, and accessible.
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 machine-learning-based classifiers to detect high acuity patients arriving to the emergency department.
2022-Present
maximiliano.barra.t@mail.pucv.cl
Max is an undergrad student of industrial engineering at PUCV. He is developing machine-learning-based classifiers to detect high acuity patients arriving to the emergency department.
Luis Lillo
2021-Present
luis.lillo@pucv.cl
Luis is a PhD student in industrial engineering at PUCV. His groundbreaking research focuses on developing innovative methods for unbiased evaluation and comparison of global health systems' performance. Additionally, he is actively applying game-theoretic approaches to redesign the dialysis ecosystem in Chile. Through the introduction of novel payment models and policy, Luis aims to make the dialysis system more efficient and patient-centric, ultimately improving healthcare outcomes in the country.
2021-Present
luis.lillo@pucv.cl
Luis is a PhD student in industrial engineering at PUCV. His groundbreaking research focuses on developing innovative methods for unbiased evaluation and comparison of global health systems' performance. Additionally, he is actively applying game-theoretic approaches to redesign the dialysis ecosystem in Chile. Through the introduction of novel payment models and policy, Luis aims to make the dialysis system more efficient and patient-centric, ultimately improving healthcare outcomes in the country.
Cassandra Parent
2020-Present
cparent5@jhu.edu
Cassandra was a BA in Biomedical Engineering and Computer Science from Johns Hopkins. Her remarkable work included the construction of robust data infrastructure and the development of mechanistic models to gain insights into the transmission of SARS-CoV-2 within vulnerable populations in Baltimore. Her research findings have been instrumental in guiding our efforts within the Johns Hopkins Health System to effectively control and mitigate the impact of Covid-19.
Now a PhD student at MIT
2020-Present
cparent5@jhu.edu
Cassandra was a BA in Biomedical Engineering and Computer Science from Johns Hopkins. Her remarkable work included the construction of robust data infrastructure and the development of mechanistic models to gain insights into the transmission of SARS-CoV-2 within vulnerable populations in Baltimore. Her research findings have been instrumental in guiding our efforts within the Johns Hopkins Health System to effectively control and mitigate the impact of Covid-19.
Now a PhD student at MIT
Shengwei (Nicky) Zhang
2020-Present
szhan125@jhu.edu
Nicky, who majored in applied math and computer science at Johns Hopkins, successfully developed and deployed innovative 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, who majored in applied math and computer science at Johns Hopkins, successfully developed and deployed innovative 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, who obtained an MSc in biomedical engineering from Johns Hopkins, made significant contributions of data infrastructure to investigate the causal effects of Johns Hopkins Health System's efforts in controlling Covid-19 specifically in vulnerable areas of Baltimore. His work sheds light on the impact of these interventions and helps inform future strategies for combating the virus effectively.
Now a Machine Learning Engineer with Academic Software Engineer
2020-2021
jshin69@jhu.edu
Jong, who obtained an MSc in biomedical engineering from Johns Hopkins, made significant contributions of data infrastructure to investigate the causal effects of Johns Hopkins Health System's efforts in controlling Covid-19 specifically in vulnerable areas of Baltimore. His work sheds light on the impact of these interventions and helps inform future strategies for combating the virus effectively.
Now a Machine Learning Engineer with Academic Software Engineer
Ivan Portnoy
2019
iportnoy@uninorte.edu.co
Ivan, a visiting PhD student of mechanical engineering at Uninorte, Colombia, conducted research on the epidemic processes involving the spread of antibiotic-resistant bacteria across dynamic networks of human contacts with the hospital setting.
Now an Assistant Professor with Universidad de la Costa, Colombia
2019
iportnoy@uninorte.edu.co
Ivan, a visiting PhD student of mechanical engineering at Uninorte, Colombia, conducted research on the epidemic processes involving the spread of antibiotic-resistant bacteria across dynamic networks of human contacts with the hospital setting.
Now an Assistant Professor with Universidad de la Costa, Colombia
Gan Shi
2019
gshi10@jhu.edu
Gan, who obtained his MS in informatics at Johns Hopkins, built multilevel regression models to accurately measure the association between timely inpatient discharge and two crucial factors: length-of-stay and 30-day readmissions. This research has provided valuable insights into improving patient outcomes and optimizing hospital processes.
Now a PhD student at University of Michigan
2019
gshi10@jhu.edu
Gan, who obtained his MS in informatics at Johns Hopkins, built multilevel regression models to accurately measure the association between timely inpatient discharge and two crucial factors: length-of-stay and 30-day readmissions. This research has provided valuable insights into improving patient outcomes and optimizing hospital processes.
Now a PhD student at University of Michigan
Nicolas Martinez
2019
n.martinez07@ufromail.cl
Nicolas, who obtained his BS in industrial engineering with a minor in computer science at UFRO, Chile, investigated the drivers of prolonged waiting in Chilean public hospitals. He utilized statistical learning methods to analyze and understand data from several health system of Chile.
Now an entrepreneur in Chile
2019
n.martinez07@ufromail.cl
Nicolas, who obtained his BS in industrial engineering with a minor in computer science at UFRO, Chile, investigated the drivers of prolonged waiting in Chilean public hospitals. He utilized statistical learning methods to analyze and understand data from several health system of Chile.
Now an entrepreneur in Chile
Haoxiang Zhang
2018
hzhan109@jhu.edu
Haoxiang, an MSc graduate in applied math from Johns Hopkins, developed improved patient triaging methods for Chilean public hospitals. He also contributed to the implementation of machine learning-based decision support for predicting acute kidney injury at The Johns Hopkins Hospital.
Now a Data Scientist in Paul Fredrick
2018
hzhan109@jhu.edu
Haoxiang, an MSc graduate in applied math from Johns Hopkins, developed improved patient triaging methods for Chilean public hospitals. He also contributed to the implementation of machine learning-based decision support for predicting acute kidney injury at The Johns Hopkins Hospital.
Now a Data Scientist in Paul Fredrick
Jiarui Cai
2017-2018
jcai11@jhu.edu
Jiarui, an MSc graduate from Johns Hopkins, develpoed a model-driven decision support system for fleet management at The Johns Hopkins Hospital. She also did programming work on a probabilistic model of infectious disease transmission within hospital ICUs using electronic health records.
Now a Data Scientist in Resurgent Capital Services
2017-2018
jcai11@jhu.edu
Jiarui, an MSc graduate from Johns Hopkins, develpoed a model-driven decision support system for fleet management at The Johns Hopkins Hospital. She also did programming work on a probabilistic model of infectious disease transmission within hospital ICUs using electronic health records.
Now a Data Scientist in Resurgent Capital Services
Collaborators
Aaron Milstone, Johns Hopkins
Carlton Evans, Imperial College
Cui Cai, Rutgers
Diana Prieto, PUCV
Eili Klein, Johns Hopkins
Felipe Feijoo, PUCV
Gary Lin, Johns Hopkins
Jeremiah Hinson, Johns Hopkins
Jose Zayas-Castro, South Florida
Justin Lessler, UNC Chapel Hill
Kathleen Page, Johns Hopkins
Kimia Ghobadi, Johns Hopkins
Rajib Paul, UNC Charlotte
Rodrigo Martinez, U of Chile
Scott Levin, Johns Hopkins
Sumona Datta, Imperial College
Aaron Milstone, Johns Hopkins
Carlton Evans, Imperial College
Cui Cai, Rutgers
Diana Prieto, PUCV
Eili Klein, Johns Hopkins
Felipe Feijoo, PUCV
Gary Lin, Johns Hopkins
Jeremiah Hinson, Johns Hopkins
Jose Zayas-Castro, South Florida
Justin Lessler, UNC Chapel Hill
Kathleen Page, Johns Hopkins
Kimia Ghobadi, Johns Hopkins
Rajib Paul, UNC Charlotte
Rodrigo Martinez, U of Chile
Scott Levin, Johns Hopkins
Sumona Datta, Imperial College