Abstracts & Presentations
Nathania N, Lu J, et al. Decoding the treatment blueprint: A network meta-analysis of regimens in adult drug-sensitive tuberculous meningitis. XXVII World Congress of Neurology (WCN 2025), Seoul, South Korea, October 12–15, 2025. Accepted for Oral Presentation.
Publications
Chen H*, Rodriguez K, Ellis RJ, Chow FC, Lu J, Shobha S, Fichtenbaum CJ, Tashima KT, Letendre SL, Schifitto G. Omitting nucleoside reverse transcriptase inhibitors does not affect cognitive performance: Results of AIDS Clinical Trials Group A5241 (OPTIONS). Submitted to Journal of NeuroVirology, 2025.
Projects
- Global TBM Survey Project, Columbia University – Designed and piloted a multi-country survey on TB meningitis care; analyzed diagnostic and supportive care resource gaps.
- PAHO Neuroinfectious Disease Systematic Review – Contributed to evidence synthesis on infectious neurologic diseases to guide regional policy.
Research Experiences
Research Assistant, The Neurological Institute of New York, NewYork-Presbyterian Hospital
From Jan 2025
- Supported global TB meningitis research through survey design, pilot testing, and resource mapping to inform clinical guidelines.
- Extracted and standardized clinical data from EPIC EHRs and contributed to PAHO-funded neuroinfectious disease projects and systematic reviews.
- Presented findings in weekly research and Neuro-ICU case discussions with multidisciplinary teams.
Research Assistant, Shanghai Jiaotong University Mental Health Center
Jan 2023 – Aug 2024
- Led successful patient recruitment for a clinical study on neuropsyliis biomarkers, ensuring diverse and relevant participation, which was key to the study’s validity.
- Authored research protocols, contributed to publications, and collaborated with the team to resolve challenges and maintain study integrity.
Research Assistant, Fudan University Zhongshan Hospital Neurology Department
Sept 2017 – Sept 2018
- Collected a comprehensive dataset of EEG recordings, ensuring diverse coverage of neurological conditions.
- Applied machine learning algorithms with technical team to analyze EEG data, improving the detection accuracy of neurological disorders and contributing to advancements in epilepsy diagnosis.