Aditya Pawar Email & Phone Number

Boston, MA, US

Boston, Massachusetts, US

• Contribute to developing computational pipelines to identify novel targets and develop small molecule drugs
• Developed and implemented NGS tools and nextflow pipelines for target identification and validation andpatient stratification focusing on cancer (TCGA) and ALS patients
• Developed and implemented supervised and unsupervised deep learning model to predict the binding regionof protein on long non-coding RNA using CNN model, transformers and graph neural network architecture
• Developed shape-seq analysis pipeline to identify binding region of protein on long non-coding RNA usingcomputationally driven RNA-folding
• Curate similar molecules based on Molecular weights to reduce the screening library size using RDKIT
• Implemented and built pipelines for downstream analysis such as, differential analysis, pathway enrichment

New York, NY, US

• Update and optimize the analytical functionality of PATHOMAN application.
• Patient stratification of 28,000 cancer patients in clinical datasets using R.
• Worked in the development of Next Generation Sequencing (NGS) analytics pipelines to run WES data onHigh- performance cluster for 3k Prostate and 800 Bladder cancer samples. Wrote script snippets and tools for NGS data.

• Developed two sequence-based probabilistic algorithm using deep learning architecture to predict Paratope and Epitope (binding regions of Antibody and Antigen respectively) [using GPU on colab, tensorflow, Pytorch.
• Predicted binding regions with an accuracy of 85% (ROC-AUC) using CNN-LSTM model and 87% (ROC-AUC) using dilated CNN architecture with attention mechanism

Boston, Massachusetts, US

• Built in-house web applications displaying various statistical and visualization approaches for RNA-seq workflow and single cellanalysis (using Seurat for eventually finding Biomarkers) using Rshiny
• Deployed various statistical modelling approaches on web application including automated K-means clustering, PCA, t-SNE and gene enrichment analysis along with gene and pathway mapping (connecting databases to cloud)
• Identified the top genes classifying two groups of Meningitis patients using RNN-random forest classifier

Cambridge, MA, US

• Analyzed gene expression profiles from TCGA. Developed analytical strategies using survival models and t-SNE
• Ranked the genes using Support Vector Machine (SVM) and evaluated the model through a Fold Change approach
• Parameterized in-house web application and performed visualizations using R Shiny to guide preclinical experiments
• Analyzed analytical solutions on R and deployed the web application on EC2(AWS) for running on remote server

Mumbai, Maharashtra, IN

• Developed new strategies to increase e-learning online portal sales by mining raw data provided and categorized it according to different regions. On boarded 80 clients and contributed $10k in revenue

Mumbai, Maharashtra, IN

• Arranged and conducted education seminar for higher secondary students and parents & also applied new strategies to increase company’s business contributing to revenue of $45k in 7 months

Master'S Degree, Applied Mathematics

Bachelor Of Engineering (Be), Mechanical Engineering