Education
- Doctor of Medicine, Cleveland Clinic Lerner College of Medicine, 2026
- Master of Science in Biomedical Engineering, Case Western Reserve University, 2026
- Bachelor of Arts in Computer Science, University of California - Berkeley, 2021
- Bachelor of Arts in Biochemistry & Molecular Biology, University of California - Berkeley, 2021
Work and Research Experience
- Cancer Data Science Lab, NIH, Bethesda, MD
- 2024 - present
- Mentor: Eytan Ruppin, M.D., Ph.D.
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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 democritize model availability. Currently leading a project extension focused on predicting single-cell resolution cell types, aiming for higher fidelity than current human annotations.
- Step 1 Tutor at HyGuru LLC
- 2024 - present
- Reference: Rahul Damania, M.D.
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Tutored medical students preparing for USMLE Step 1. Designed individualized study plans, guided content review, and provided test-taking strategies. Focused on integrating spaced repetition, performance tracking, and high-yield concepts. Supported students through exam stress and schedule adjustments. Designed and integrated software tools to enhance learning efficiency, including NBMEretester and Anki.
- Chung Lab, Cleveland Clinic Foundation
- 2021-present
- Mentors: Mina Chung, M.D. and John Barnard, Ph.D.
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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
- 2021-2024
- Mentor: Candece Gladson, M.D.
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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.
- Feng Lab, University of California, San Francisco
- 2018-2021
- Mentors: Jonathan Chou, M.D., Ph.D. and Felix Feng, M.D.
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Conducted research in prostate cancer genomics. Through benchtop techniques (western blot, qPCR, and cell culture) explored how CDK12 loss affects DNA repair pathways and response to PARP inhibitors. Used a CRISPRi screen to explore how synthetic lethality can be exploited in CDK12-deficient prostate cancer.
Projects
- NBMEretester
- Uworld2Anki
- Path2Space Web
- Non-random Rotation Matching Algorithm (NRMA)
Publications
- 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. In preparation.
- Lodha R, Ouyang K, Carroll BT. Limitations of quantum artificial intelligence for enhanced skin-cancer diagnosis: A scoping review. In preparation.
- 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
- 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, 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.
- 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. Submitted 2025.
- Chou J, Chang K, Delavan H, Yip E, Kasap C, Zhu J, Lodha R, et al. Modulating the PPARγ pathway up-regulates NECTIN4 and enhances chimeric antigen receptor (CAR) T-cell therapy in bladder cancer. Nature Communications. Accepted 2025.
- Lodha R, Muller-Greven G, Maqbool MA, Guo L, Buchan G, Desai K, et al. Transcriptomic changes in glioblastoma predict a poor response to bevacizumab therapy: A novel therapeutic target for resistant tumors. Nature Scientific Reports. Submitted 2025.
- 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.
- 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.
- Shulman ED, Campagnolo EM, Lodha R, Cantore T, Hu T, Nasrallah M, Hoang DT, et al. Path2Space: An AI approach for cancer biomarker discovery via histopathology-inferred spatial transcriptomics. bioRxiv. 2024-10.
- 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.
- 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.
- 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.
- Lodha R, Mehta N, Nielsen C. Non-random Rotation Matching Algorithm. medRxiv. 2023.
View all publications on Google Scholar
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, 2021
- Leadership Award, Cal Alumni Association, 2017-2021
- Full tuition scholarship, Cleveland Clinic Lerner College of Medicine, 2021-2026
- Medical Research Scholars Program, NIH Clinical Center, 2024-2025
Teaching Experience
- Course Facilitator - DeCal, University of California, Berkeley, Jan 2021 - May 2021
- Undergraduate Instructor - MCBC100A, University of California, Berkeley, May 2019 - Jan 2021
- Academic Intern - CS61A, University of California, Berkeley, May 2018 - Aug 2018
Skills
- Software: SLURM, Python, R, Java, C++, HTML, JavaScript, CSS
- Languages: English (Native), Hindi (Native), Rajasthani (Native), Spanish (Fair)
- Hobbies: Tennis, Bouldering, Ceramics, Woodworking
Organizations and Leadership
- Co-president - Medical Reallocation Initiative of CWRU SOM, 2021-2023
- Co-president - Oncology Student Interest Group of CCLCM, 2021-2023
- Co-president - CaseMed Tech, 2022-2023
- Senior Advisor - Data Science Society, Jan 2021 - May 2021
- Directory of Academic Development - Data Science Society, May 2020 - Dec 2020
- President - Medical Reallocation Initiative at Berkeley, May 2020 - May 2021
- Chief Technology Officer - Medical Reallocation Initiative at Berkeley, May 2018 - May 2020