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Reetam Ganguli

Reetam Ganguli

CEO & Founder at Elythea (YC) | MD Candidate | Healthcare Innovator

Reetam
San Jose, California
Joined June 2024
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Summary

Reetam Ganguli is a passionate and driven healthcare innovator, dedicated to leveraging machine learning and AI to solve critical patient safety issues. His primary focus is through Elythea, where he developed proprietary ML models to predict and prevent severe pregnancy complications, addressing a significant gap in maternal healthcare by enabling early intervention and proactive care for high-risk patients, particularly within underserved Medicaid populations. ycombinator+4
Beyond Elythea, Reetam demonstrates a consistent commitment to social impact and accessible healthcare. He co-founded Junior Medical Academy, a nonprofit providing global medical education, and Survivor Central, a platform connecting survivors of sexual assault and domestic violence with critical resources. He also contributed to Patient Voting, a research initiative focused on improving voting accessibility for hospitalized individuals, showcasing his dedication to equitable social systems. jma+4
With a strong academic background in Cancer Engineering from Brown University and ongoing medical studies at The Warren Alpert Medical School, Reetam has authored numerous medical papers, some published in prestigious Nature Journals. His research spans machine learning applications in oncology and obstetrics, reflecting his expertise in integrating advanced technology with medical practice. google+2

Work

Education

Writing

Comparison of machine learning models for the prediction of hypertension in transgender patients undergoing gynecologic surgery

January 1, 2024

Co-authored a paper published in Nature: Communications Medicine on comparing machine learning models for predicting hypertension in transgender patients undergoing gynecologic surgery.

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Novel generative recurrent neural network framework to produce accurate, applicable, and deidentified synthetic medical data for patients with metastatic cancer

January 1, 2023

Co-authored a paper published in JCO Clinical Cancer Informatics on a novel neural network framework for synthetic medical data for metastatic cancer patients.

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Machine learning methods to predict presence of residual cancer following hysterectomy

January 1, 2022

Authored a paper published in Nature Scientific Reports on machine learning methods to predict residual cancer after hysterectomy.

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Machine learning models to prognose 30-day mortality in postoperative disseminated cancer patients

January 1, 2022

Authored a paper published in Surgical Oncology on machine learning models for predicting 30-day mortality in postoperative disseminated cancer patients.

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Emergency Absentee Voting for Hospitalized Patients and Voting During COVID-19: A 50-State Study

January 1, 2021

Co-authored a study assessing emergency absentee voting processes and election changes across all 50 states during the COVID-19 pandemic, highlighting areas for improvement in voter accessibility for hospitalized patients.

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Notes

IDIshan Deshpandesaid they've seen
RGReetam Ganguli
make a significant positive impact as a founder building an AI-driven company in logistics, health, or care.

Jan 10, 2026