Roshan Lodha

Education

• Resident Physician, Harvard Affiliated Emergency Medicine Residency06/2026 - 06/2030
• Doctor of Medicine, Cleveland Clinic Lerner College of Medicine07/2021 - 05/2026
• Master of Science in Biomedical Engineering, Case Western Reserve University07/2021 - 05/2026
• Bachelor of Arts in Computer Science, University of California - Berkeley08/2017 - 05/2021
• Bachelor of Arts in Biochemistry & Molecular Biology, University of California - Berkeley08/2017 - 05/2021

Research Experience

• Cancer Data Science Lab, National Cancer Institute (NCI) 07/2024 - 06/2025
  • PI: Eytan Ruppin, M.D., Ph.D.
  • Conducted research at the NIH in machine learning and oncology. Co-developed Path2Space, an attention-based deep learning model to predict spatial transcriptomics directly from histology slides. Discovered a mathematical spatial biomarker significantly associated with treatment response in breast cancer. Independently designed and built a companion web platform to democratize model availability. Currently leading a project extension focused on predicting single-cell resolution cell types, aiming for higher fidelity than current human annotations.
• Chung Lab, Cleveland Clinic Foundation 07/2022 - 05/2025
  • Mentors: Mina Chung, M.D. and John Barnard, Ph.D.
  • Conducted machine learning research in cardiology. Conducted literature review to identify key genetic contributors to AF recurrence. Correlated mathematically defined metafeatures extracted from segmented cardiac CT/MRI with specific genetic SNPs associated with atrial fibrillation. Additionally led a project focusing on developing a 3D convolutional neural network (3D-CNN) to predict post-ablation atrial fibrillation recurrence using pre-ablation CT scans. Learned transferable skills like image augmentation and radiology basics.
• Gladson Lab, Lerner Research Institute 07/2021 - 05/2024
  • Mentor: Candece Gladson, M.D.
  • Led a bioinformatics project analyzing bulk RNA-seq data to stratify glioblastoma patients by response to bevacizumab. Used differential gene expression and survival analysis to identify response-associated signatures. Identified EGR1 as a key driver mediator in non-response to bevacizumab therapy. Solely designed and executed the project; first-author publication currently under review. Through this, learned about management of lab resources, scientific writing, and navigating the manuscript submission/review process.

Projects

• Path2Space Web 07/2024 - 06/2025
  • A companion web platform for the Path2Space deep learning model, enabling users to predict spatial transcriptomics directly from histology slides to democratize access to advanced molecular insights.
• Non-random Rotation Matching Algorithm (NRMA) 12/2023 - 03/2026
  • A rotation assignment algorithm applying linear sum optimization to optimize student clerkship placement.

Publications

Published Articles

• Patel MH, Lodha R, Millan B, Blachman-Braun R, Loebach L, Pramod N, Saini J, Stecko H, Gurram S, Turkbey B, Linehan WM, Ball MW. Predicting Renal Tumor Pathology from Gross Appearance: An AI-Based Pilot Study. Urology. Submitted 2026.
• Shulman ED, Campagnolo EM, Lodha R, Stemmer A, Cantore T, Ru B, Wang A, Hu T, Nasrallah M, Hoang DT, et al. AI-Driven Spatial Transcriptomics Unlocks Large-Scale Breast Cancer Biomarker Discovery from Histopathology. Cell. Accepted 2026.
• Shen A, Arbesman M, Lodha R, Rayman P, Gastman B, Ko J, Truong T-G, Diaz-Montero CM, Ni Y, Funchain P. Germline Pathogenic Variant-Positive Patients with Melanoma Exhibit Improved Response to Checkpoint Inhibitor Immunotherapy. Journal of Investigative Dermatology. 2025;S0022-202X(25)00004-1.
• Lodha R, Muller-Greven G, Maqbool MA, Guo L, Buchan G, Desai K, et al. Transcriptomic analysis identifies a potential target for bevacizumab resistant glioblastoma. Scientific Reports. 2025;15:36860.
• Chou J, Chang K, Delavan H, Yip E, Kasap C, Zhu J, Lodha R, et al. Modulating the PPARγ pathway upregulates NECTIN4 and enhances chimeric antigen receptor (CAR) T cell therapy in bladder cancer. Nature Communications. 2025;16:8215.
• Shen A, Arbesman M, Lodha R, Rayman P, Bungo B, Ni Y, Chan T, Gastman B, Ko J, Diaz-Montero CM. Clinical and Immunologic Features of Germline Pathogenic Variant–Positive Patients with Melanoma. Clinical Cancer Research. 2024;30(3):564-574.
• Chou J, Robinson TM, Egusa EA, Lodha R, Zhang M, Badura M, et al. Synthetic Lethal Targeting of Cyclin-Dependent Kinase-12-Deficient Prostate Cancer with PARP Inhibitors. Clinical Cancer Research. 2024 Sep 25.
• Lodha R, Mehta N, Nielsen C. Non-random Rotation Matching Algorithm. medRxiv. 2023.

Published Abstracts

• Lodha R, Stemmer A, Rogness V, Shen A, Shulman E, Campagnolo E, Hoang D-T, Ruppin E. Abstract C060: Spatial cell-identity and gene expression inference directly from histopathology slides in colorectal cancer with Path2SpaceHD. Cancer Immunology Research. 2026;14(2_Supplement):C060-C060.
• Lodha R, Stemmer A, Shulman E, Campagnolo E, Dhruba S, Hoang D, Aldape K, Ruppin E. 1109 High-resolution spatial inference of gene expression and cell-identity directly from colorectal cancer histopathology slides. Journal for ImmunoTherapy of Cancer. 2025;13(Suppl 1):A1109.
• Lodha R, Ouyang K, Reynolds C, Carroll B. 0090 Data engineering improves recurrence prediction in merkel cell carcinoma. Journal of Investigative Dermatology 145(8):S16
• Lodha R, Shulman ED, Campagnolo EM, Cantore T, Hu T, Nasrallah M, Hoang DT, Aldape K, Ruppin E. Predicting spatial transcriptomics from histopathology with Path2Space: AI charts breast cancer patients’ tumor immune micro-environment on an unprecedented scale. Cancer Immunology Research. 2025;13(2_Supplement):B105-B105.
• Campagnolo EM, Shulman ED, Lodha R, Stemmer A, Jiang P, Caldas C, Knott S, Hoang DT, Aldape K, Ruppin E. Abstract B047: Path2Space: An AI approach for cancer biomarker discovery via histopathology-inferred spatial transcriptomics. Clinical Cancer Research. 2025;35(8_Supplement):B047-B047.
• Chang K, Delavan HM, Zhu J, Kasap C, Yip E, Lodha R, et al. Abstract PR008: Modulating the PPARγ pathway to augment NECTIN4-targeting CAR T-cell therapy. Clinical Cancer Research. 2024;30(10_Supplement):PR008-PR008.
• Pramod N, Pavicic P, Dawsey S, Shen A, Lodha R, et al. Dissecting immuno-genomic pathways of response and resistance to immunotherapy in metastatic urothelial carcinoma: A real-world cohort. Cancer Research. 2023;83(7_Supplement):2278-2278.
• Shen A, Lodha R, Bungo B, Arbesman M, Pramod N, Ko J, et al. Germline variant-positive melanoma patients exhibit an enhanced inflammatory micro-environment. Cancer Research. 2023;83(7_Supplement):5963-5963.
• Lodha R, Muller-Greven G, Guo L, Gladson C. Glioblastoma tumors that respond poorly to bevacizumab therapy show up-regulation of an angiogenesis gene set. Cancer Research. 2023;83(7_Supplement):4593-4593.
• Pramod N, Dawsey S, Pavicic PG, Lodha R, Patgunarajah U, Nair M, Ornstein MC, Gilligan TD, Wee CE, Mian OY. Characterizing immune-genomic signatures associated with response to immune checkpoint inhibitors in metastatic urothelial carcinoma (mUC). Journal of Clinical Oncology. 2023.
• Asaeikheybari G, Osman MG, Lodha R, et al. PO-03-246 Novel machine-learning-derived features of pulmonary-vein shape on CT are associated with atrial-fibrillation recurrence post-ablation. Heart Rhythm. 2023;20(9):e153-e154.

Selected Presentations

• Lodha R, Stemmer A, Shulman E, Campagnolo E, Dhruba S, Hoang D, Aldape K, Ruppin E. High-resolution spatial inference of gene expression and cell-identity directly from colorectal cancer histopathology slides. Society for Immunotherapy in Cancer, 2025. (Poster)
• Lodha R, Ouyang K, Reynolds C, Carroll B. Data engineering improves recurrence prediction in Merkel cell carcinoma. Symposium on Cutaneous Surgery, Society for Investigative Dermatology Annual Meeting, 2025. (Oral)
• Lodha R. Path2Space. NIH Medical Research Scholars Program Symposium, 2025. (Oral)
• Lodha R, Muller-Greven G, Guo L, Gladson C. Glioblastoma tumors that respond poorly to bevacizumab therapy show up-regulation of an angiogenesis gene set. AACR Annual Meeting, 2023. (Poster)
• Lodha R, Shen A, Mohan N, Pramod N, Rogness T, Mehta N, Nielsen C. Non-random Rotation Matching Algorithm (NRMA): A method for generalizable assignment of medical students to preferred clerkships. ChangeMedEd Conference, 2023. (Poster)

Awards

• Honors in Molecular & Cell Biology, UC Berkeley, 05/2021
• Full tuition scholarship, Cleveland Clinic Lerner College of Medicine, 07/2021-05/2026
• Medical Research Scholars Program, NIH Clinical Center, 07/2024-06/2025