Aditya Surapaneni

Aditya Surapaneni, PhD

Research Associate Professor, Department of Medicine

Keywords
Kidney, Omics, meta-analysis, EHR
Summary

I hold a PhD in mathematics and have experience as a data scientist in industry before transitioning to biostatistics and joining the faculty at the Department of Epidemiology at Johns Hopkins University.

  • I analyze large administrative datasets of electronic health records to study real-world practice patterns, medication usage, and their impact, with a focus on kidney health.
  • As a statistical programmer for the Chronic Kidney Disease Prognosis Consortium (CKD-PC), I work with data from over 20 million participants across 80+ cohorts worldwide and contribute to developing web-based risk calculators for CKD-PC models.
  • In multi-omics research, I integrate large-scale datasets of metabolites, proteins, and genetic markers to identify disease biomarkers. My previous work includes genome-wide association studies and causal inference techniques such as Mendelian randomization.

Academic office

227 E 30th st

8th floor

New York, NY 10016

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Positions

Research Associate Professor, Department of Medicine at NYU Grossman School of Medicine

Graduate Education

PhD from University of Pennsylvania

Discordance in Creatinine- and Cystatin C-Based eGFR and Clinical Outcomes: A Meta-Analysis

Estrella, Michelle M; Ballew, Shoshana H; Sang, Yingying; Grams, Morgan E; Coresh, Josef; Surapaneni, Aditya; Alencar de Pinho, Natalia; Ärnlöv, Johan; Brenner, Hermann; Carrero, Juan-Jesus; Chen, Teresa K; Cohen, Debbie L; Cushman, Mary; Gansevoort, Ron T; Hwang, Shih-Jen; Inker, Lesley A; Ix, Joachim H; Kabasawa, Keiko; Konta, Tsuneo; Lees, Jennifer S; Polkinghorne, Kevan R; Shlipak, Michael G; Vernooij, Robin W M; Wheeler, David C; Yadav, Ashok Kumar; Levey, Andrew S; Eckardt, Kai-Uwe; ,

JAMA. 2025 Dec 02; 334(21):1915-1926

A Target Trial Emulation Study of SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Combination Therapy in Preventing Kidney Failure in Type 2 Diabetes

Blum, Matthew F; Mehta, Sneha; Surapaneni, Aditya; Carrero, Juan J; Zhang, Donglan; Inker, Lesley; Horwitz, Leora I; Blecker, Saul; Shin, Jung-Im; Grams, Morgan E

Clinical journal of the American Society of Nephrology : CJASN. 2025 Nov 20;

Proteinuria or Albuminuria as Markers of Kidney and Cardiovascular Disease Risk : An Individual Patient-Level Meta-analysis

Heerspink, Hiddo J L; Grams, Morgan E; Sang, Yingying; Ballew, Shoshana H; Coresh, Josef; Surapaneni, Aditya; Alencar de Pinho, Natalia; Brunskill, Nigel J; Chang, Alexander R; Ciemins, Elizabeth; Dember, Laura M; Kabasawa, Keiko; Kornowske, Lindsey; Levin, Adeera; Major, Rupert; Mark, Patrick B; McArthur, Eric; Medcalf, James; Metzger, Marie; Nadkarni, Girish N; Naimark, David M J; Robinson-Cohen, Cassianne; Sumida, Keiichi; Vernooij, Robin W M; Gansevoort, Ron T; Fellström, Bengt; Chadban, Steven; ,

Annals of internal medicine. 2025 Nov 04;

Predictive Value of Serum N-Terminal pro-B-Type Natriuretic Peptide and Troponin T for Incident Heart Failure: A Meta-Analysis of 9 International Cohorts

Bansal, Nisha; Grams, Morgan E; Coresh, Josef; Matsushita, Kunihiro; Ballew, Shoshana H; Sang, Yingying; Surapaneni, Aditya; Ärnlöv, Johan; Bell, Samira; Berry, Jarett D; Damman, Kevin; de Lemos, James A; Dobre, Mirela; Hwang, Shih-Jen; Gansevoort, Ron T; Shlipak, Michael G; Schneider, Markus P; ,

Journal of the American Heart Association. 2025 Nov 04; 14(21):e041683

Chronic kidney disease and incident cancer risk: an individual participant data meta-analysis

Mok, Yejin; Surapaneni, Aditya; Sang, Yingying; Coresh, Josef; Grams, Morgan E; Matsushita, Kunihiro; Ballew, Shoshana H; Alencar de Pinho, Natalia; Ärnlöv, Johan; Barreto, Sandhi M; Bell, Samira; Brenner, Hermann; Carrero, Juan-Jesus; Chinnadurai, Rajkumar; Ciemins, Elizabeth; Gansevoort, Ron T; Jassal, Simerjot K; Jung, Keum Ji; Kirchner, H Lester; Konta, Tsuneo; Kovesdy, Csaba P; Luo, Li; Pandit, Krutika; Rahman, Mahboob; Robinson-Cohen, Cassianne; Sabanayagam, Charumathi; Schultheiss, Ulla T; Shlipak, Michael; Staplin, Natalie; Tonelli, Marcello; Wang, Angela Yee-Moon; Wen, Chi-Pang; Woodward, Mark; Lees, Jennifer S; ,

British journal of cancer. 2025 Nov; 133(10):1535-1543

Unbiased self supervised learning of kidney histology reveals phenotypic and prognostic insights

Pandit, Krutika; Coudray, Nicolas; Quiros, Adalberto Claudio; Surapaneni, Aditya; Upadhyay, Dhairya; Vanguri, Rami Sesha; Hirohama, Daigoro; Mohandes, Samer; Schlosser, Pascal; Thiessen-Philbrook, Heather; Wen, Yumeng; Parikh, Chirag R; Rhee, Eugene P; Waikar, Sushrut S; Schmidt, Insa; Rosenberg, Avi Z; Palmer, Matthew B; Susztak, Katalin; Grams, Morgan E; Tsirigos, Aristotelis; ,

Scientific reports. 2025 Oct 08; 15(1):35131

Estimated glomerular filtration rate, albuminuria, and risk of infection: a collaborative meta-analysis of individual participant data

Ishigami, Junichi; Surapaneni, Aditya; Matsushita, Kunihiro; Coresh, Josef; Grams, Morgan E; Ballew, Shoshana H; Sang, Yingying; Stengel, Benedicte; Ärnlöv, Johan; Bell, Samira; Carrero, Juan-Jesus; Chang, Alexander R; Ciemins, Elizabeth L; Haynes, Richard; Ix, Joachim; Kotsis, Fruzsina; Lees, Jennifer S; Pandit, Krutika; Rao, Panduranga; Robinson-Cohen, Cassianne; Alencar de Pinho, Natalia; Sumida, Keiichi; ,

EClinicalMedicine. 2025 Aug; 86:103372

Validation of an Algorithm to Identify End-Stage Kidney Disease in Electronic Health Records Data

Gao, Chenxi; Xu, Yunwen; Mehta, Sneha; Sang, Yingying; Flaherty, Carina; Surapaneni, Aditya; Pandit, Krutika; Chang, Alexander R; Green, Jamie Alton; Grams, Morgan E; Shin, Jung-Im

American journal of kidney diseases. 2025 Aug; 86(2):212-221.e1

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