Venkata Jonnakuti, MD, PhD

Curriculum vitae

Venkata Soumith Jonnakuti, MD, PhD. Resident Physician, Department of Ophthalmology and Visual Sciences, University of Texas Medical Branch, Galveston, TX.

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Education

2018–2025Doctor of Medicine (M.D.)
Baylor College of Medicine, Houston, TX
2020–2023Doctor of Philosophy (Ph.D.), Quantitative and Computational Biology
Baylor College of Medicine, Houston, TX
2014–2018Bachelor of Science (B.S.), Molecular Biology
Drexel University, Philadelphia, PA (accelerated BS/MD program)

Postgraduate training

2025–presentResident Physician, Ophthalmology
Department of Ophthalmology and Visual Sciences, University of Texas Medical Branch (UTMB), Galveston, TX

Honors & awards

2026Outstanding Abstract Award, Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Denver, CO
2026Invited Participant, Members-in-Training Outstanding Poster Competition, ARVO Annual Meeting (extended to first authors with a top-five abstract score within their reviewing section)
2025Donald A. Elliott, M.D., Ph.D., Scholar, Medical Scientist Training Program, Baylor College of Medicine
2023John P. McGovern Clerkship Student Performance Award Nomination, Department of Psychiatry, Baylor College of Medicine
2023Research Conference Travel Award, Department of Neurosurgery, Baylor College of Medicine
2021–2023Ph.D. Fellowship in Biomedical Informatics and Data Science, National Library of Medicine, NIH
20223rd Place (of 28 teams), “Hack for X-Linked Dystonia-Parkinsonism” Therapeutics Coding Challenge, Massachusetts General Hospital
2021Professor John J. Trentin Scholarship Award for Academic Excellence, Baylor College of Medicine
20211st Place (of 125 teams), “Smart Devices and Integrated Medical History to Enhance Access-to-Care” Coding Challenge, Johns Hopkins Hospital
20212nd Place (of 37 teams), PTEN Therapeutics Challenge, Children's Tumor Foundation
2018Helmsley Charitable Trust Abstract Award, The Endocrine Society
2016Summer Research Fellowship for Undergraduate Student Scholars, Center for Molecular Studies in Digestive and Liver Diseases, NIH

Peer-reviewed publications

  1. Jonnakuti VS, Syed M, Gupta PK. Caution against overreliance on color-coded optical coherence tomography retinal nerve fiber layer analysis. Eye (Lond), 2026.
  2. Jonnakuti VS, Laylani N, Alryalat S, Deyabat O, Chen JJ, Lee AG. Myelin oligodendrocyte glycoprotein antibody-positive optic neuritis and associated retinal ischemia. Journal of Neuro-Ophthalmology, 2024.
  3. McAnnis K, Mbydeen T, Jonnakuti VS, Davila P, Laylani N, Jurkutė N, Ondo W, Lee AG. Candidate GRN variant in a patient with progressive supranuclear palsy. Journal of Neuro-Ophthalmology, 2024.
  4. Jonnakuti VS, Jonnakuti S, Yalamanchili HK. APA-aware bulk RNA-seq analysis: a practical guide to unlocking alternative polyadenylation insights with PolyAMiner-Bulk. STAR Protocols, 2024.
  5. Jonnakuti VS, Wagner EJ, Maletić-Savatić M, Liu Z, Yalamanchili HK. PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq data. Cell Reports Methods, 2024. PMID 38325383
  6. Alahmari AA, Chaubey AH, Jonnakuti VS, et al. CPSF3 inhibition blocks pancreatic cancer cell proliferation through disruption of core histone mRNA processing. RNA, 2024. PMID 38191171
  7. Jonnakuti VS, Frankfort BJ. Seeing beyond reality: considering the impact of mainstream virtual reality adoption on ocular health and the evolving role of ophthalmologists. Eye (Lond), 2023. PMID 38097803
  8. Jonnakuti VS, Ji P, Gao Y, Lin A, Chu Y, Elrod N, Huang KL, Li W, Yalamanchili HK, Wagner EJ. NUDT21 alters glioma migration through differential alternative polyadenylation of LAMC1. Journal of Neuro-Oncology, 2023. PMID 37389756
  9. de Prisco N, Ford C, Elrod ND, et al. (incl. Jonnakuti VS). Alternative polyadenylation alters protein dosage by switching between intronic and 3'UTR sites. Science Advances, 2023. PMID 36800428
  10. Khaw TH, Raynor WY, Borja AJ, Al-Zaghal A, Jonnakuti VS, et al. Assessing the effects of body weight on subchondral bone formation with quantitative 18F-sodium fluoride PET. Annals of Nuclear Medicine, 2020. PMID 32524505
  11. Raynor WY, Jonnakuti VS, et al. Comparison of methods of quantifying global synovial metabolic activity with FDG-PET/CT in rheumatoid arthritis. International Journal of Rheumatic Diseases, 2019. PMID 31721461
  12. Naha PC, Liu Y, Hwang G, et al. (incl. Jonnakuti V). Dextran-coated iron oxide nanoparticles as biomimetic catalysts for localized and pH-activated biofilm disruption. ACS Nano, 2019. PMID 30642159
  13. Jonnakuti VS, Raynor WY, Taratuta E, Werner TJ, Alavi A, Baker JF. A novel method to assess subchondral bone formation using [18F]NaF-PET in the evaluation of knee degeneration. Nuclear Medicine Communications, 2018. PMID 29505483

Reviews & invited perspectives

  1. Kothekar E, Raynor WY, Al-Zaghal A, Jonnakuti VS, Werner TJ, Alavi A. Evolving role of PET/CT-MRI in assessing muscle disorders. PET Clinics, 2019. PMID 30420223

Book chapters

  1. Jonnakuti VS, Stanescu D, De Leon D. Developmental origins and roles of intestinal enteroendocrine hormones. In: Maternal-Fetal and Neonatal Endocrinology (Kovacs, ed.). Elsevier; 2019.
  2. Yang J, Jonnakuti VS, Stanescu D, De Leon D. Intestinal enteroendocrine disorders. In: Maternal-Fetal and Neonatal Endocrinology (Kovacs, ed.). Elsevier; 2019.

Manuscripts under review & in preparation

  1. Mansuri M, Jonnakuti VS, Banaee T, Gupta PK. Dexamethasone intravitreal implant in anti-VEGF–experienced diabetic macular edema and its association with a two-fold increase in glaucoma-related events: a TriNetX analysis. In preparation.
  2. Jonnakuti VS, Alryalat S, Deyabat O, Jurkutė N, Milea D, Lee AG. NDUFV1 gene deletion (c.343G>A) identified in a patient with isolated optic atrophy. Under review.
  3. Nguyen T, Ong J, Jonnakuti VS, et al. Artificial intelligence in the diagnosis and management of refractive errors. Under review.
  4. Jonnakuti VS, Olayon M, Raynor W, Kuy S. Fostering AI literacy among medical students. Under review.
  5. Jonnakuti VS, Jonnakuti S, Huang G, Wagner EJ, Yalamanchili HK. A multifaceted perspective on alternative polyadenylation. Under review.

Peer-reviewed abstracts

  1. Jonnakuti VS, et al. (Zhang W). Alternative polyadenylation dynamics in corneal wound repair. ARVO Annual Meeting, Denver, CO; 2026. Outstanding Abstract Award
  2. Jonnakuti VS, Liu Z, Yalamanchili HK. Deciphering alternative polyadenylation dynamics using bulk RNA-seq data. AI in Healthcare Conference, Houston, TX; 2023.
  3. Jonnakuti VS, Liu Z, Klisch T, Patel A, Yalamanchili HK. Deciphering alternative polyadenylation dynamics in meningiomas using PolyAMiner-Bulk. National Library of Medicine Training Conference, Palo Alto, CA; 2023.
  4. Jonnakuti VS, Liu Z, Klisch T, Patel A, Yalamanchili HK. Deciphering alternative polyadenylation dynamics in meningiomas using PolyAMiner-Bulk. American Association of Neurological Surgeons, Los Angeles, CA; 2023.
  5. Jonnakuti VS, Liu Z, Yalamanchili HK. A novel machine learning-based approach to decipher APA dynamics from bulk RNA-seq data. National Library of Medicine Training Conference, Buffalo, NY; 2022.
  6. Jonnakuti VS, Liu Z, Yalamanchili HK. C/PAS-BERT: a novel attention-based deep learning approach to identify and characterize cleavage and polyadenylation sites. American Medical Informatics Association Annual Symposium, Washington, DC; 2022.

Selected oral presentations & posters

  1. Jonnakuti VS, Al Ryalat S, Al Deyabat O, Lee AG. Challenging age-old assumptions: a late-onset vision loss odyssey. Houston Methodist Hospital, Ophthalmology Grand Rounds, Houston, TX; 2024. (Oral)
  2. Jonnakuti VS, Liu Z, Yalamanchili HK. Deciphering alternative polyadenylation dynamics using bulk RNA-seq data. Rice University Ken Kennedy Institute AI in Healthcare Conference, Houston, TX; 2023. (Oral)
  3. Jonnakuti VS, Liu Z, Yalamanchili HK. Deciphering alternative polyadenylation dynamics using bulk RNA-seq data. Baylor College of Medicine MSTP Symposium, Houston, TX; 2023. (Oral)
  4. Jonnakuti VS, et al. Deciphering APA dynamics in meningiomas using PolyAMiner-Bulk. Baylor College of Medicine Department of Neurosurgery Grand Rounds, Houston, TX; 2023. (Oral)
  5. Jonnakuti VS, et al. A machine learning-based approach to decipher APA dynamics in meningiomas. Baylor College of Medicine Dan L Duncan Comprehensive Cancer Center Symposium, Houston, TX; 2022. (Poster)
  6. Jonnakuti VS, Liu Z, Yalamanchili HK. PolyAMiner-Bulk. Baylor College of Medicine MSTP “Off the Cuff,” Houston, TX; 2022. (Oral)
  7. Jonnakuti VS, Stoffers D, Stanescu D. The role of SLC38A5 in pancreatic alpha-cell development. Endocrine Society Annual Meeting, Chicago, IL; 2018. (Oral)

Other scholarly media

  1. Lee AG, Jonnakuti VS. Wernicke syndrome. Neuro-Ophthalmology Virtual Education Library (NOVEL), University of Utah; 2019.

Editorial & peer-review service

2022–presentAd hoc journal reviewer Bioinformatics, Progress in Neurobiology, Frontiers in Ophthalmology
2022–presentGuest Editor & Topic Advisory Panel Member, Life (MDPI) curating the “Feature Studies in Diagnostic Radiology” special issue
2023–presentEditorial Board Member, Omentum Medical Humanities Journal, Baylor College of Medicine

Teaching & mentorship

2024–presentTeaching Assistant & Student Committee Member, DDASH Course, Baylor College of Medicine
2022–presentAnatomy Tutor, Anatomy Buddies Program, Baylor College of Medicine

Leadership & professional service

2022–presentOperating Committee Member, Medical Scientist Training Program, Baylor College of Medicine
2023–presentResearch Chair, National Perinatal Association Student Society, Baylor College of Medicine
2022–presentAdmissions Ambassador, Baylor College of Medicine

Community service & outreach

2020–presentCo-Host & Co-Editor, LetsTalkAboutPTEN Podcast Series raising public awareness of PTEN gene disorders
2023–presentVolunteer, Flu's Clues Vaccination Drive, Baylor College of Medicine

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