Jonathan Ejie | Personalized Medicine | Best Research Article Award

Jonathan Ejie | Personalized Medicine | Best Research Article Award

Mr. Jonathan Ejie, UCSF, United States

Mr. Jonathan Ejie is an aspiring physician-scientist currently pursuing his M.D. at UCSF 🩺 (Class of 2026), following a B.S. in Electrical Engineering & Computer Science from UC Berkeley 💻. His research spans oncology, radiology, and AI in healthcare, with published work in Cancers (2025) and upcoming studies in Nature Communications 📊. Jonathan integrates data science 🧠 with clinical insights, contributing to health equity, quality improvement, and surgical education. A mentor, tutor, and award-winning leader 🏅, he co-founded the UCSF Futbol Club and serves underserved communities through advocacy and outreach.

Publication Profile 

Orcid

Education

Mr. Jonathan Ejie is an exceptional scholar whose educational journey bridges medicine and technology. He is currently pursuing his Doctor of Medicine (M.D.) degree at the prestigious University of California, San Francisco (UCSF) 🏥, with an expected graduation in 2026. Prior to this, he earned a Bachelor of Science in Electrical Engineering and Computer Science (EECS) 💻 from the University of California, Berkeley, graduating in 2022. His strong foundation in both engineering and clinical science equips him with a unique interdisciplinary perspective 🤖🩺, positioning him at the forefront of innovation in digital health and precision medicine.

Experience

Mr. Jonathan Ejie brings a blend of academic support and compassionate service to his professional journey. As an MCAT Physics Tutor at UCSF (2023), he guided 15+ students through complex physics concepts 📘⚛️. Earlier, at Contra Costa College (2019–2021), he tutored mathematics from Algebra to Calculus ➕📐. His volunteer work includes providing first aid at athletic events 🏃‍♂️🩹, teaching surgical skills to high school students at UCSF 🧵🧑‍⚕️, and serving as a Health Advocate at West County Health Center 💬🩺, helping underserved patients access vital community resources. His dedication reflects a strong commitment to both education and public health.

Awards

Mr. Jonathan Ejie has been recognized for his academic excellence and impactful contributions to medicine and research. In 2024, he was honored with the prestigious Sinkler Miller Medical Association Scholarship 🎖️, sponsored by Gilead, celebrating his commitment to health equity and academic distinction. He also received the UCSF School of Medicine Summer Explore Fellowship Grant 🌟, supporting his innovative pursuits in medical research. In May 2023, Jonathan earned the Inquiry Conference Travel and Dissemination Award ✈️📊, which enabled him to share his scholarly findings on a larger stage. These accolades reflect his rising potential and leadership in healthcare.

Research Focus 

Mr. Jonathan Ejie’s research focus lies at the intersection of oncology, health disparities, and medical data science. His standout work on the “Ongoing Failure to Deliver Guideline-Concordant Care for Patients with Pancreatic Cancer” 📉🩺 highlights critical inequities in healthcare delivery across race, geography, and insurance status. Combining his background in medicine 🧑‍⚕️ and computer science 💻, Jonathan leverages data analysis and machine learning 🤖📊 to drive systemic improvements in cancer care. His work reflects a commitment to equity, evidence-based medicine, and the pursuit of personalized, accessible treatment strategies for vulnerable cancer populations.

Publication Top Notes

  • Ongoing Failure to Deliver Guideline-Concordant Care for Patients with Pancreatic Cancer

Assist Prof Dr.Francesco Asnica, Personalized Medicine,Best Researcher Award

Assist Prof Dr.Francesco Asnica,Personalized Medicine ,Best Researcher Award

Assist Prof Dr.Francesco Asnica, at Department CIBIO, University of TrentDepartment CIBIO, University of Trento,Italy

Author Profile

 

Education

  • Ph.D. in Information Technology – Transdisciplinary Programme in Computational Biology (cum laude), University of Trento, Italy (May 2019)
    • Thesis: “A phylogenetic framework for large-scale analysis of microbial communities”
    • Supervisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Master of Science in Computer Science, University of Trento, Italy (October 2014)
    • Thesis: “PhyloPhlAn2 and GraPhlAn: novel reconstruction and visualization tools for large-scale whole-genome phylogenomics”
    • Supervisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Bachelor of Science in Computer Science, University of Trento, Italy (March 2012)
    • Thesis: “Installazione e Test di Estensioni Grafiche Real-time per Debian GNU/Linux”
    • Supervisor: Prof. Luca Abeni

Awards and Honors

  • Highly Cited Researcher 2023 & 2022 in Cross-Field by Clarivate™
  • Member of the Gruppo 2003 per la Ricerca Scientifica since 2023
  • Euregio Young Researcher Award 2022 (Second Place)
  • Co-recipient of the X PRÊMIO 2019 – Prêmio Octavio Frias de Oliveira
  • Doctor Darwin Prize 2017

Fellowships & Scholarships

  • Travel Grant for BITS 2018
  • Summer School Grant for the Second European Summer School on Nutrigenomics 2016
  • Travel Scholarship for ISMB/ECCB 2015

Invited Talks

Dr. Asnicar has delivered numerous invited talks at prestigious conferences and symposiums, including:

  • 9th Central European Congress of Life Sciences Eurobiotech 2024
  • 10th International Human Microbiome Consortium Congress 2024
  • IBS Days 2024
  • DF/HCC Microbiome Symposium Workshop 2024
  • 6th HCMPH Annual Symposium – Microbiome and Cancer 2024

Organized Workshops

  • Workshop on Data Standards, Interoperability, and Model Organisms in Microbiome Research (2023)
  • Workshop on Establishing Consensus for Microbiome Analysis Standards (2023)

🎓Publication Top Noted:

Paper Title : QIIME 2: reproducible, interactive, scalable, and extensible microbiome data science. PeerJ

  • Authors: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, H Alexander, EJ Alm, M Arumugam, F Asnicar, Y Bai, JE Bisanz, K Bittinger, A Brejnrod, CJ Brislawn, CT Brown, BJ Callahan, AM Caraballo-Rodríguez, J Chase, JG Caporaso
  • Journal:Inc
  • Year: 2018
Paper Title : Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals
    • Authors :  Francesco Asnicar, Sarah E Berry, Ana M Valdes, Long H Nguyen, Gianmarco Piccinno, David A Drew, Emily Leeming, Rachel Gibson, Caroline Le Roy, Haya Al Khatib, Lucy Francis, Mohsen Mazidi, Olatz Mompeo, Mireia Valles-Colomer, Adrian Tett, Francesco Beghini, Leonard Dubois, Davide Bazzani, Andrew Maltez Thomas, Chloe Mirzayi, Asya Khleborodova, Sehyun Oh, Rachel Hine, Christopher Bonnett, Joan Capdevila, Serge Danzanvilliers, Francesca Giordano, Ludwig Geistlinger, Levi Waldron, Richard Davies, George Hadjigeorgiou, Jonathan Wolf, José M Ordovás, Christopher Gardner, Paul W Franks, Andrew T Chan, Curtis Huttenhower, Tim D Spector, Nicola Segata
    • Journal:Nature medicine
    • Year: 2021
Paper Title :Human postprandial responses to food and potential for precision nutrition
  • Authors: Sarah E Berry, Ana M Valdes, David A Drew, Francesco Asnicar, Mohsen Mazidi, Jonathan Wolf, Joan Capdevila, George Hadjigeorgiou, Richard Davies, Haya Al Khatib, Christopher Bonnett, Sajaysurya Ganesh, Elco Bakker, Deborah Hart, Massimo Mangino, Jordi Merino, Inbar Linenberg, Patrick Wyatt, Jose M Ordovas, Christopher D Gardner, Linda M Delahanty, Andrew T Chan, Nicola Segata, Paul W Franks, Tim D Spector
  • Journal:Nature medicine
  • Year:2020
Paper Title :Strain-level microbial epidemiology and population genomics from shotgun metagenomics
  • Authors: Matthias Scholz, Doyle V Ward, Edoardo Pasolli, Thomas Tolio, Moreno Zolfo, Francesco Asnicar, Duy Tin Truong, Adrian Tett, Ardythe L Morrow, Nicola Segata
  • Journal:Nature methods
  • Year: 2016

Paper Title :Ketogenic diet and ketone bodies enhance the anticancer effects of PD-1 blockade

  • Authors: Gladys Ferrere, Maryam Tidjani Alou, Peng Liu, Anne-Gaëlle Goubet, Marine Fidelle, Oliver Kepp, Sylvère Durand, Valerio Iebba, Aurélie Fluckiger, Romain Daillère, Cassandra Thelemaque, Claudia Grajeda-Iglesias, Carolina Alves Costa Silva, Fanny Aprahamian, Déborah Lefevre, Liwei Zhao, Bernhard Ryffel, Emeline Colomba, Monica Arnedos, Damien Drubay, Conrad Rauber, Didier Raoult, Francesco Asnicar, Tim Spector, Nicola Segata, Lisa Derosa, Guido Kroemer, Laurence Zitvogel
  • Journal: JCI insight
  • Year: 2021