Introduction

Hello! My name is Donna, and I am a PhD student studying computer science at the University of Michigan. I am part of the MLD3 group, advised by Professor Jenna Wiens. My research lies at the intersection of machine learning and healthcare. Broadly, my interests cover topics such as survival analysis and noisy label learning in the context of real-world problems like predicting the onset of Alzheimer’s disease and sepsis. My CV can be found here.

Education

• 2013-2018: University of Toronto
  • 2018: Bachelor’s of Science in molecular genetics and computer science
• 2018-2024: University of Michigan
  • 2020: Master’s of Science in computer science
  • 2024: Doctor of Philosophy in computer science

Publications

• Kamran F, Tjandra D, Heiler A, Virzi J, Singh K, King, JE, Valley TS, Wiens J. Evaluation of Sepsis Prediction Models before Onset of Treatment. NEJM AI. 2024 Feb 7:AIoa2300032.

• Irwin C, Tjandra D, Hu C, Aggarwal V, Lienau A, Giordani B, Wiens J, Migrino RQ. Predicting 5‐year dementia conversion in veterans with mild cognitive impairment. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring. 2024 Jan;16(1):e12572.

• Tjandra D & Wiens J. Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise. In Conference on Health, Inference, and Learning (pp. 477-497). PMLR. 2023

• Tjandra D, Migrino RQ, Giordani B, Wiens J. Use of blood pressure measurements extracted from the electronic health record in predicting Alzheimer’s disease: A retrospective cohort study at two medical centers. Alzheimer’s & Dementia. 18(11): 2368-72. 2022

• Tjandra D, He Y, Wiens J. A Hierarchical Approach to Multi-Event Survival Analysis. In Proceedings of the AAAI Conference on Artificial Intelligence 2021 May 18, Vol. 35, No. 1, pp. 591-599

• Tjandra D, Migrino RQ, Giordani B, Wiens J. Cohort discovery and risk stratification for Alzheimer’s disease: an electronic health record‐based approach. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 6(1), e12035. 2020

• Belth C, Kamran F, Tjandra D, Koutra D. When to remember where you came from: Node representation learning in higher-order networks. IEEE/ACMInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2019

• Pascoe N, Seetharaman A, Teyra J, Manczyk N, Satori AM, Tjandra D, Makhnevych T, Schwerdtfeger C, Brasher BB, Moffat J, Costanzo M, Boone C, Sicheri F, Sidhu SS. Yeast Two-Hybrid Analysis for Ubiquitin-variant Inhibitors of Human Deubiquitinases. Journal of Molecular Biology. 436(6): 1160-1171. 2019

• Goyal D, Tjandra D, Migrino RQ, Giordani B, Syed Z, Wiens J. Characterizing heterogeneity in the progression of Alzheimer’s disease using longitudinal clinical and neuroimaging biomarkers. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring. 10: 629-637. 2018