I am a PhD candidate at Yale University specialising in Computational Biomedical Technologies, bringing over a decade of experience in integrating Data Science and Artificial Intelligence into the biomedical field!
My current research focuses on human aging, and I also advise venture capital funds on investment opportunities in the longevity and geroscience space. Additionally, I advise and consult start-ups at the intersection of AI and longevity!
As a PhD student in Computational Biology and Bioinformatics at Yale University, I am passionate about solving the mysteries of aging and extending healthy lifespans. I am developing machine learning and deep learning tools to analyze multi-omic and multi-modal data, and to answer questions such as what biological systems drive aging, how can we measure them, and can we reverse them. As part of my research I built SYMPHONYAge a patented biomarker that can measure aging in 11 different organs of your body from a single blood draw. The biomarker is available to patients and clinicians via TruDiagnostic where I also serve as a Scientific Advisory Board member. I am also a Yale Cancer Biology Training program fellow, where I learn about the practical clinical issues of oncology and prepare to lead translational research on teams that include both basic scientists and clinicians.
In addition to my academic research, I am a Scientific Principal at Longevitytech.fund, a venture capital firm that focuses on investing in companies that are innovating in the fields of AI, digital health, medical devices, and diagnostics. I provide expert advice on their potential investment opportunities, and also helped them raise their second fund by building strategies for future investments. Beyond this, I have 9 years of experience in applying data science and artificial intelligence to the biomedical space, as a scientist, engineer, product manager, team builder, academician, and entrepreneur. I have worked on projects ranging from cancer prediction to metabolic regulation, and have published in prestigious journals such as Nature. I have also received multiple honors and awards, such as the Gruber Science Fellowship, Impetus Aging Grant and more.
Notable Projects
SYMPHONYAge
A single blood methylation test to quantify aging heterogeneity across 11 physiological systems
SYMPHONYAge has been patented and has been licensed out to TruDiagnostic
Key components of Systems Age:
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Systems Age leverages a combination of supervised and unsupervised machine learning approaches to find latent dimensions of organ specific aging. Its 5 step process which uses a mixture of classical machine learning methods and more novel neural network approaches is able to model 11 different organ aging scores from 450K methylation features and 20K samples.
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Systems age is a first of its kind epigentic biomarker which can untangle organ level aging from just one single blood draw. This allows systems age to not only give more insight into organ aging but also makes it a more precise biomarker than it whole body aging epigenetic biomarker counterparts
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Having 11 different organ level scores from a single blood draw allows for categorisation of individuals into ageotypes that have increased pre-disposition to specific aging related diseases and conditions.
TranslAGE
Validating aging biomarkers for Prognostic, Responsive, and Reliable qualities is essential for clinical use. TranslAGE offers a framework to standardize this process, leveraging public data to streamline aging biomarker translation. As a proof of concept, we applied this framework to over 110 DNAm aging biomarkers, ranking their potential as clinical surrogate endpoints, with plans to extend this framework to other Omic biomarkers.
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Prognostic analysis looking at data from 21K individuals from Asian, South Asian, European, African, Hispanic and Native American ancestries across 40+ aging phenotypes with the goal to find the most predictive aging biomarkers
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We looked at 51 different longevity interventions and whether aging biomarkers respond to them.
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We looked at technical and biological reliability linking it back to prognosis and reliable
AIOmic and DMDB
AIOmic stands for AI enabled Integrative Omics pipeline and was specially built for Drug Metabolism Database (DMDB) to integrate and analyse data from 500 drugs in 50 cell lines over 5 years.
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Very often “Integration of Omics data” refers to generation of multiple Omics data and viewing them in parallel. AIOmic on the other hand integrates all 4 of its Omic data to view on the same KEGG Network.
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One of the biggest challenges in large multi-omic data sets is to find succinct biological insights by manually scavenging the data. AIOmic automates this by using publicly available information to find relevant insights.
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DMDB with its 4 Omics datasets and integration gives a holistic and multi-pronged view of metabolism at different levels of the cellular processes.
Media Coverage
QUOTES BY RAGHAV
SYSTEMS AGE
INTERVENTIONAL STUDY
Public Speaking
Achievements and Honours
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Built a novel GPT based mortality prediction algorithm that led the leaderboard in the Biomarkers of Aging Challenge.
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June 2024
SYMPHONYAge was launched and licensed exclusively by TruDiagnostic in June 2024.
SYMPHONYAge (System Methylation Proxy of Heterogeneous Organ Years), this collection of system-specific clocks provides a new way of looking at aging by examining how different parts of the body decline independently, and synchronously, over time. Due to lifestyle and dietary choices, researchers explain that organ systems age differently in a single body, and that disease-related risks can be calculated by examining 11 major systems and their biological effect on one another. This includes: Lung Age, Heart Age, Brain Age, Hormone Age, Metabolic Age, Musculoskeletal Age, Blood Age, Liver Age, Inflammation Age, Kidney Age, and Immune System Age.
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As a modern publishing platform, TEDxYale aims to catalyze meaningful discussion by bringing the world's best ideas to the Yale and New Haven communities.
I won the TEDx Yale student speaker competition and was offered a spot to speak at TEDx Yale 2023!
My talk was titled RIPe old Age and discussed the potential of using aging biomarkers to extend lifesspan and healthspan -
Sep 2021
Impetus Grants provides funding for scientists to start working on what they consider the most important problems in aging biology, without delay and offer grants of up to $500k. -
Mar 2020
The Gruber Science Fellowship is awarded to the most highly ranked applicants to Yale PhD programs in the life sciences, cosmology, and astrophysics. This Fellowship is the most prestigious award offered by Yale’s Graduate School of Arts and Sciences to incoming science students in recognition of their outstanding accomplishments and exceptional promise -
Aug 2015
Built prediction models for life expectancy of cancer patients as part of the Synapse dream challenge. Placed second and third worldwide in the first and second rounds of the competition -
Jan 2015
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Organized Cultural fest and multiple different events in college
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2012
Experience and Education
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May 2024 - Present ·
As the Director of Bioinformatics at Healthy Longevity Clinics in North America and Europe, I use my academic expertise to enhance health outcomes for patients. I focus on building novel AI-driven, personalized longevity interventions based on biomarkers, helping clinicians leverage these models to better support their aging patients.
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Apr 2024 - Present
I have had the privilege of serving as a Scientific Advisory Board member at TruDiagnostics, where I have collaborated with the team to translate cutting-edge research into practical solutions for improving health outcomes. Through my expertise in epigenetic biomarkers, I have played a pivotal role in the development and implementation of novel biomarkers that have revolutionised the way customers make health decisions. By focusing on identifying interventions and therapies to combat aging, I have contributed to the advancement of personalised healthcare solutions.
Developed and productized patented biomarker (SYMPHONYAge) for TruDiagnostics to aid in health decision-making.
Analyzed over 50 interventions from human clinical trials using biomarkers to identify aging therapies.
Collaborated with TruDiagnostics to translate research into actionable interventions for customers.
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LTF focuses on investing in companies extending healthy lifespans at Pre-seed to Series A stage. I have been a critical part of the team driving investment agenda from a scientific perspective.
Scientific PrincipalAug 2024 - Present
As the Scientific Principal I overlook the scientific due diligence process of all our investments as well as source new deals based on their promising science and potential for investment.
I additionally help General partners in defining the scientific manifesto for the fund and raising funds based on said manifesto.
Venture Consultant
Feb 2022 - July 2024
I provide expert advice on their potential investment opportunities in AI technologies, digital health, medical devices, and diagnostics. I am also helping them raise their second fund by building strategies for potential investments in the future.
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Oct 2022 - May 2023 | Remote
Cambrian BioPharma is building therapeutics to lengthen healthspan, the period of life spent in good health. I advised them on their clinical trial biomarker strategy as well as consumer facing product biomarker strategy. -
Aug 2021 - May 2022 | New Haven, CT
Yale Accelerator for Innovation Development (Y-AID) fellowship is offered by Yale Ventures formerly known as Yale Office of Cooperative Research (OCR). Fellows are involved in actively evaluating and enabling start-ups under OCR’s investment portfolio. -
Nov 2021 - Present
The goals of the program are to educate graduate students and postdoctoral trainees on practical clinical issues of oncology and to prepare trainees to lead translational research on teams that include both basic scientists and clinicians.
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PhD
Aug 2020 – Present | New Haven, CT
Trainee under Dr. Morgan Levine and Dr. Albert Higgins Chen.
Developed Systems Age: ML model for predicting aging in 11 different organs of humans using multi-omic data from a single blood draw. Patent filed and licensed to TruDiagnostic.
Worked on translating DNAm biomarkers to clinical trial surrogate endpoints by testing the prognostic, responsive and reliable nature of 110 DNAm biomarkers using publicly available datasets (13K samples across 30 aging phenotypes, 51 interventions as well as technical and biological reliability analysis datasets)
Built a DNAm stress biomarker which can be capture different types of pyschosocial stress from a single DNAm blood draw.
Post Graduate Researcher
Aug 2019 - July 2020
Led development of AIOmic, an Artificial Intelligence enabled Integrated Omics platform for the IOMIC Flux Core at the Yale School of Medicine.
Headed Drug Metabolism Database project aimed to catalogue uncharacterized metabolic changes from 500 Drugs, in 50 Different Cell Lines
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May 2015 – Aug 2019 | Delhi, India
• Product Manager for Polly, an AI driven target discovery platform.– Responsible for managing and planning the algorithm development behind the product.
– Built over 20 different omic data analysis workflows for metabolomics, transcriptomics, genomics, integrative omics and more.
• Product Development Lead for El-MAVEN, an ML enabled metabolomics data processing engine.
– Added multiple new ML algorithms for better metabolomic data detection and quantification.
• Data Scientist for developing bioinformatics pipeline for CRISPR Tx containing 6 different applications of note two were:
– Guido: CRISPR guide RNA prediction based on hypothesized on-target and off-target activity. Data engineered the pipeline for cloud computation using 10 different AWS services.
– Tsunami, an application to mathematically detect the effectiveness of mutations induced by a CRISPR Cas9 and guide pair.
• Data Scientist for International Prostate Cancer Dream Challenge.
– Improved prediction results for survival, risk and discontinuation of a medication for patients in a lab trial through mathematical modeling & ML based predictive analysis on clinical data.
– Placed second globally.
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2012-2016
Publications (H-index 9)
2023
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Geroscience-Centric Perspective for Geriatric Psychiatry: integrating aging biology with geriatric mental health research
Authors: Breno S Diniz, Johanna Seitz-Holland, Raghav Sehgal, Jessica Kasamoto, Albert T Higgins-Chen, Eric Lenze
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More than bad luck: cancer and aging are linked to replication-driven changes to the epigenome.
Authors: Christopher J Minteer, Kyra Thrush, John Gonzalez, Peter Niimi, Mariya Rozenblit, Joel Rozowsky, Jason Liu, Mor Frank, Thomas McCabe, Raghav Sehgal...
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Systems Age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems.
Authors: Raghav Sehgal, Yaroslav Markov, Chenxi Qin, Margarita Meer, Courtney Hadley, Aladdin H Shadyab, Ramon Casanova...
2022
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System specific aging scores: a state of the art aging clock built using aging scores from different bodily functions
Authors: Raghav Sehgal, Albert Higgins-Chen, Margarita Meer, Morgan Levine
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Pyruvate kinase M1 suppresses development and progression of prostate adenocarcinoma
Authors: Shawn M Davidson, Daniel R Schmidt, Julia E Heyman, James P O'Brien, Amy C Liu, William J Israelsen, Talya L Dayton, Raghav Sehgal, Roderick T Bronson...
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Comprehensive analysis of metabolic isozyme targets in cancer
Authors: Michal Marczyk, Vignesh Gunasekharan, David Casadevall, Tao Qing, Julia Foldi, Raghav Sehgal, Naing Lin Shan
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Targeting Acetyl-CoA carboxylase in pre-clinical breast cancer models
Authors: Julia Foldi, Michal Marczyk, Vignesh Gunasekharan, Tao Qing, Raghav Sehgal, Naing Lin Shan...
2021
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Aging Biomarkers for Clinical Trials and Drug Discovery
Authors: Margarita Meer, Raghav Sehgal, Morgan Levine
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Deep Learning Methods Capture Non-Linear Brain Aging Patterns Underlying Alzheimer’s Disease and Resilience
Authors: Kyra Thrush, Albert Higgins-Chen, Yaroslav Markov, Raghav Sehgal, Morgan Levine
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Systems aging clock: A novel epigenetic aging clock modeled from organ & bodily function based mortality indices
Authors: Raghav Sehgal, Morgan Levine
2020
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Multi-tissue acceleration of the mitochondrial phosphoenolpyruvate cycle improves whole-body metabolic health
Authors: Abudukadier Abulizi, Rebecca L Cardone, Romana Stark, Sophie L Lewandowski, Xiaojian Zhao, Joelle Hillion, Lingjun Ma, Raghav Sehgal, Tiago C Alves...
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L-Glutamine Mass Isotopomers Map Hepatic Mitochondrial Metabolism without Tracer Interference
Authors: Stephan Siebel, Rebecca L Cardone, Abudukadier Abulizi, Raaisa Raaisa, Richard M Williams, Raghav Sehgal, GINA BUTRICO, Gary Cline...
2019
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El-MAVEN: a fast, robust, and user-friendly mass spectrometry data processing engine for metabolomics
Authors: Shubhra Agrawal, Sahil Kumar, Raghav Sehgal, Sabu George, Rishabh Gupta, Surbhi Poddar, Abhishek Jha, Swetabh Pathak
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O‐GlcNAc signaling orchestrates metabolic adaptation to prolonged fasting
Authors: Mindian Li, Jiayu Liu, Raghav Sehgal, Jing Wu, Pei Zhang, Weiping Han, Abhishek Jha, Xiaoyong Yang
2018
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Electrophilic properties of itaconate and derivatives regulate the IκBζ–ATF3 inflammatory axis
Authors: Monika Bambouskova, Laurent Gorvel, Vicky Lampropoulou, Alexey Sergushichev, Abdurrahman Keskin, Andrea Santeford, Rajendra S Apte, Raghav Sehgal...
2017
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Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data
Authors: Justin Guinney, Tao Wang, Teemu D Laajala, Kimberly Kanigel Winner, J Christopher Bare, Gopal Peddinti, Antti Airola, Tapio Pahikkala, Raghav Sehgal, Fatemeh Seyednasrollah
2024
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Ketamine treatment effects on DNA methylation and Epigenetic Biomarkers of aging
Authors: Kristin Dawson, Athena May Jean M. Carangan, Jessica Klunder, Natalia Carreras-Gallo, Raghav Sehgal...
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When to Trust Epigenetic Clocks: Avoiding False Positives in Aging Interventions
Authors: Daniel S. Borrus, Raghav Sehgal, Jenel Fraij Armstrong, Jessica Kasamoto, John Gonzalez, Albert Higgins-Chen -
DNAm aging biomarkers are responsive: Insights from 51 longevity interventional studies in humans
Authors: Raghav Sehgal, Daniel Borrus, Jessica Kasamato, Jenel F. Armstrong, John Gonzalez, Yaroslav Markov, Ahana Priyanka, Ryan Smith, Natàlia Carreras, Varun B. Dwaraka, Albert Higgins-Chen -
Multidimensional Epigenetic Clocks Demonstrate Accelerated Aging Across Physiological Systems in Schizophrenia: A Meta-Analysis
Authors: Zachary M. Harvanek, Raghav Sehgal, Daniel Borrus, Jessica Kasamoto, Ahana Priyanka, Michael J. Corley, Christiaan H. Vinkers, Marco P. Boks, Ryan Smith, Varun B. Dwaraka, Jessica Lasky-Su, Albert T. Higgins-Chen
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CpGPT: a Foundation Model for DNA Methylation
Authors: Lucas Paulo de Lima Camillo, Raghav Sehgal, Jenel Armstrong, Albert T. Higgins-Chen, Steve Horvath, Bo Wang
In the wild; Over the years
TEDx Yale 2023
Glenn Symposium 2022
Gruber Symposium 2021
Elucidata pitch 2018
GSA talk 2022
Alumni Talk Sanskriti School 2023
Write me an email on raghav.sehgal@yale.edu or raghavsehgal1995@gmail.com
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