Ishan Paranjpe

Data Science Consultant

2022

Co-Founder

2021 - 2023

Autism is a diagnosis that should not be missed. Unfortunately, current workflows often lead to delayed or missed diagnoses in a large proportion of children. At Neurona Health, we are building a tech-enabled platform for early childhood developmental monitoring. Our approach integrates genetics with clinician driven telehealth appointments. If you are passionate about autism, telehealth, digital health or want to learn more, please get in touch!

Analyst

2021 - 2022

Magnetic Ventures is an early stage venture capital firm investing at the intersection of life science and technology.

Data Scientist

2020 - 2022

Developing data-driven insights into COVID-19 clinical characteristics, outcomes, and therapies at the epicenter, NYC. Association of Treatment Dose Anticoagulation With In-Hospital Survival Among Hospitalized Patients With COVID-19

Researcher

2018 - 2022

• Lead effort to characterize COVID-19 clinical characteristics and investigate anticoagulation as therapeutic candidate (JACC 2020) leading to protocol implementation across Mount Sinai Health System • Built data preprocessing pipeline for electronic health records data • Developed deep learning framework to cluster clinical notes, labs, vitals, and diagnoses to identify disease subtypes in diabetic kidney disease • Developing polygenic risk score to identify individuals at risk for developing kidney stones and heart failure

Data Scientist

2017 - 2018

• Developed method to integrate transcriptomic, DNA methylation, genetic, and clinical data to identify disease subtypes in systemic lupus erythematosus using R and python custom scripts • Wrote R Shiny app to visualize differential gene expression data in preterm labor metaanalysis (https://comphealth.ucsf.edu/preterm_transcriptomics/) • Built machine learning model to predict drug response from cyclophosphamide lupus clinical trial data

Research Assistant

2016 - 2017

• Studied the transcriptional and epigenetic regulation of Ly49 inhibitory receptors on natural killer cells • Knocked out key regulatory element of Ly49 gene via CRISPR-Cas9 genome editing • Performed flow cytometry experiments to analyze Ly49 expression on murine NK cells • Wrote custom script to analyze ATAC-seq and ChIP-seq data sets • Developed optimized ChIP-qPCR assay for detection of transcription factor binding in NK cells

Immunology Intern

2016 - 2016

• Performed In vitro screening of TLR 7/8 dual agonist small molecule library using secreted cytokine response from isolated human blood lymphocytes after stimulation • Optimized small molecule structure using computational docking simulation • Streamlined preclinical drug screening pipeline to select lead compounds and decrease costs associated with animal testing.

Research Assistant

2015 - 2016

Investigated the role of mitochondrial ion channel physiology in browning of white adipocytes. Induced differentiation of preadipocytes and conducted protein analysis using immunostaining and Western blotting Harvested fat tissue from knockout mice for primary culture and measurement of respiration rate using Strathkelvin respirometer Published in Cell Metabolism: https://www.ncbi.nlm.nih.gov/pubmed/28380374

Regulatory Affairs Intern

2015 - 2015

Assisted with product commercialization of entrotech life sciences drape product Performed analytical testing and prepared literature review for FDA clearance