1. Poster: Molecular Docking for Schizophrenia A conference poster presented by Abhinav Mishra & Nimisha Asati at the 16th NSCB Symposium (JUIT, Solan) under the Department of Biotechnology & Bioinformatics, showcasing a docking-based approach to identify potential lead molecules targeting the dopamine D3 receptor in schizophrenia. GitHub 2. Poster: FM-Index for Error-Tolerant Sequence Search A technical poster presented during module Introduction to Focus Areas 2023 (FU Berlin) by Abhinav Mishra, Jule Brenningmeyer, and Maike Herkenrath under the Department of Mathematics & Informatics, explaining the FM-Index data structure for efficient exact and approximate sequence search using the Burrows–Wheeler Transform, * C-array*, and Occ matrix, and exploring L-to-F mapping, backward search, and **error-tolerant backtracking ** with bidirectional indices and pigeonhole search strategies. GitHub | Report 3. Poster: Deep Learning-based Cancer Patient Stratification A technical poster presented during Introduction to Focus Areas 2023 (FU Berlin) by Abhinav Mishra, Jule Brenningmeyer, and Maike Herkenrath under the Department of Mathematics & Informatics, outlining a deep-learning framework for multi-omics integration (ARCASOnco) to improve cancer patient stratification, showcasing * latent-factor discovery*, subtype refinement, and survival-prediction gains across large colorectal cancer datasets. GitHub | Report Here is the report from Complex Systems in Bioinformatics courses: Complex Systems Report (IFA 2023)