Trainees

Inspiring and developing the next generation of scientists is core to our mission. We do this locally and internationally through invested mentorship, a focus on scientists at all levels, and by creating a dynamic interdisciplinary environment where we all learn from each other.

Victoria (Fehintola) Ajogbasile

Victoria Ajogbasile

Victoria is a postdoctoral scholar working on the genomic epidemiology of malaria. Victoria is from Ogun State, Nigeria. She has a Bachelor’s degree in Microbiology, a  Master’s degree in Molecular Biology and Genomics, and a PhD in Molecular Biology and Genomics, all from Redeemer’s University, Nigeria. She was a research fellow for 7years at the African Centre of Excellence for Genomics of Infectious diseases (ACEGID) where she worked on genomic surveillance studies of Malaria, COVID-19, HIV, Lassa Fever and Yellow Fever. Victoria’s core goal is to better understand infectious pathogens in order to eradicate them. 

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Marco Hamins-Puertolas

Marco Hamins-Puertolas

Marco is a postdoctoral scholar. His research involves developing mathematical models for viral evolution across different scales. Marco has modeled various systems including infectious disease dynamics, prison recidivism, and honey bee population dynamics.

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Jared Honeycutt

Jared Honeycutt

Jared is a postdoctoral scholar studying serological responses during the development of naturally acquired immunity to malaria. He worked in Denise Monack’s lab at Stanford for his PhD studying the pathogenesis of invasive non-typhoidal Salmonella. Jared is interested in exploring the interactions between host immune responses and pathogen genetics with a view toward improving public health interventions such as vaccines.

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Shahiid Kiyaga 

Shahiid Kiyaga

Shahiid is a Visiting Scholar with a focus on Host-Pathogen Genomics, Genetics, and Bioinformatics. He serves as a research fellow for the IMMRSE-U study at IDRC and is a MakDARTA project PhD fellow at Makerere University. He holds a Master's degree in Bioinformatics and a Bachelor's degree in both Biochemistry and Mathematics.
His trining in Genetics, Genomics, Bioinformatics, and Machine Learning Modeling, informs his exploration of transmission dynamics of Plasmodium falciparum in areas with high Malaria endemicity in Uganda. 

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William Louie 

William Louis PhD portrait photo

William is a postdoctoral scholar interested in the complex transmission dynamics of vector-borne diseases. He earned his PhD in microbiology with an emphasis in the biology of vector-borne diseases at UC Davis under Lark Coffey. There, he studied the impacts of the environment-acquired microbiota within Aedes aegypti mosquitoes on their vector competence for Zika virus. After graduating, he continued in her lab, investigating the ability of Ae. aegypti to become infected by Mayaro virus when fed on viremic rhesus macaques. In addition to research, he  advocates for engages with discourse into the colonial history and ethics of tropical medicine.

 Max McClure

Max McClure headshot

Max is an infectious disease fellow. He is interested in the ecoepidemiology of vector-borne disease and will be conducting research on entomological risk factors for malaria transmission. Max attended medical school at Columbia University College of Physicians & Surgeons, completed Internal Medicine residency at Stanford University, and joined the UCSF Infectious Diseases fellowship in 2022.

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Maxwell Murphy

MaxMurphy

Max is a PhD student in Biostatistics at UC Berkeley. He is interested in using statistical modeling and machine learning to understand malaria transmission dynamics, as well as applications of non parametric statistics to problems of causal inference. In his previous life, he worked as a molecular biologist gaining wet lab experience.

Email  Google Scholar  GitHub  

Joanna Vinden

Jo Vinden

Jo is a PhD student in Infectious Diseases and Immunity at UC Berkeley. She did her BSc in chemistry at McGill University. She is interested in infectious diseases, vaccinology, and global health. In the Greenhouse lab, she is working on a project to elucidate the human antibody response to malaria.

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Qiyu Wang

​ Qiyu Wang

Qiyu is a Master student in Biostatistics at UC Berkeley. She earned her BSc in Computer Science and Biology at McGill University. She is interested in using machine learning and Bayesian modeling to study biology and public health problems. She is now working on molecular surveillance for malaria using probability models under the supervision of Professor Isabel Rodríguez-Barraquer.