Aditya Misra
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Aditya Misra Email & Phone Number

Data Scientist III at Novo Nordisk
Location: Cambridge, Massachusetts, United States 8 work roles 3 schools
1 work email found @cornell.edu 1 phone found area 610 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email a****@cornell.edu
Direct phone (610) ***-****
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Current company
Role
Data Scientist III
Location
Cambridge, Massachusetts, United States

Who is Aditya Misra? Overview

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Quick answer

Aditya Misra is listed as Data Scientist III at Novo Nordisk, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at cornell.edu, phone signal with area code 610, and a matched LinkedIn profile for Aditya Misra.

Aditya Misra previously worked as Graduate Researcher at Massachusetts Institute Of Technology and Senior Research Support Associate (Computational Immunology - Chakraborty Lab) at Mit Institute For Medical Engineering And Science. Aditya Misra holds Doctor Of Philosophy - Phd, Medical Engineering And Medical Physics from Massachusetts Institute Of Technology.

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*@cornell.edu
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Profile bio

About Aditya Misra

Biomedical engineer cross-trained at MIT and Harvard Medical School with expertise in inflammation and metabolism. Deployed approaches from data science, metabolomics, imaging, and drug delivery to develop therapies around how liver and gut inflammation remodel tissue metabolism, spatial structure, and immune responses. Looking for innovative target and drug discovery programs.

Listed skills include Microsoft Office, Microsoft Excel, Cell Culture, Flow Cytometry, and 15 others.

Current workplace

Aditya Misra's current company

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Novo Nordisk
Novo Nordisk
Data Scientist III
Cambridge, MA, US
AeroLeads page
8 roles

Aditya Misra work experience

A career timeline built from the work history available for this profile.

Graduate Researcher

Cambridge, Massachusetts, United States

Pioneered innovative experimental and computational methodologies (including machine learning and multiplexed imaging) to investigate the impact of acute and chronic inflammation on tissue metabolism and resident immune cells in mouse models of bacterial sepsis and colitis. Mentored 4 undergraduate and graduate trainees.• Utilized machine learning techniques and introduced Metabolic Set Enrichment Analysis (MSEA) to pinpoint liver metabolites correlating with differential survival in a mouse model of bacterial sepsis. Notably, identified defects in the metabolism of three amino acids, leading to ~250% improvement in survival upon supplementation.• Elucidated protective mechanism of action through Density Functional Theory (DFT) studies and in vitro assays (e.g. UV-Vis, LC-MS, MTT), demonstrating amino acid byproducts neutralize pathogenic extracellular peroxides through decarboxylation reactions.• Collaborated with external laboratories to advance liquid chromatography-mass spectrometry (LC-MS) methodologies of serum from bacterial sepsis and COVID-19 patients, revealing non-survivors shared the same amino acid pathway defects.• Established novel co-culture, explant, and metabolic assays to elucidate how hits modulate inflammatory hepatocyte, macrophage, and neutrophil cross-talk. Developed TNT-FARM (see below) to synthesize nanoparticles that perturbed crosstalk in vivo. • Developed in MATLAB ODE-based mathematical models along with in vitro co-culture assays to elucidate the intricate dynamics of epithelial cell-macrophage crosstalk during colitis. Unveiled that activation of a bistable metabolic program in macrophages was crucial for the formation of protective tolerogenic memory.• Led in silico docking studies (e.g. benchmarking AlphaFold, ESMFold against HPepDock) and high-throughput assay development to design peptide libraries that modulate metabolism. Lead candidates demonstrated efficacy in mouse models of chronic inflammation.

Sep 2019 - Aug 2024

Senior Research Support Associate (Computational Immunology - Chakraborty Lab)

Mit Institute For Medical Engineering And Science

Cambridge, Ma

Professor Arup Chakraborty's Computational Immunology LabUsing mathematical models and approaches rooted in statistical mechanics to investigate immunological systems and dynamics.• Elucidated with sequence data resolution the role of spatial heterogeneity in host immune response (derived from HIV vaccination) on intra-host HIV evolution and the resulting differential control of infection.• Extended quorum sensing model of T cell activation and developed differential equation model to suggest that inappropriate competition between self-reactive and non-self-reactive clones during immune cell reconstitution following lymphopenia leads to T cell receptor (TCR) repertoire skew characteristically found in patients with newly onset autoimmunity.

Jun 2017 - Jun 2018

Undergraduate Researcher (Computational Polymers - Escobedo Lab)

Professor Fernando Escobedo's Computational Materials and Polymers LabStarted developing computational skill set by combining molecular dynamics techniques using LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) to model DNA-coated nanoparticles and used Monte Carlo Simulations to study their respective single-stranded DNA hybridization behavior.

Dec 2016 - May 2017

Undergraduate Researcher (Drug Delivery And Biomaterials - Putnam Lab)

Dept. Of Biomedical Engineering

Professor David Putnam's Functional Biomaterials and Drug Delivery Laboratory:Independent work in Bioprocess Engineering of Immuno-modulatory materials:-Designed and optimized bio-reactor process surrounding bacterial outer membrane vesicle (OMV) vaccine platform, scaling up from a bench-scale 40mL shake flask batch process to 2L bio-reactor fed-batch process -Designed and optimized both formulations and lyophilization (freeze-drying) processes to prevent OMV storage degradation and to possibly eliminate OMV's need for cold chain.-Designed new fusion proteins for more energy-efficient membrane translocation of antigen. Independent work in Formulation Engineering towards fusion of OMVs for multivalent vaccines:-used experiments with pH shifts of OMV formulation to characterize fusion vs. aggregation of OMV particles in combination with mathematical models derived from DLVO colloid theory -explained above phenomena using molecular dynamics to show how extracellular lipopolysaccharide (LPS) serves as a counterion sinkIndependent work in Polymer Chemistry and Engineering:-Designing, synthesizing, and characterizing hydrogels for cosmetic implants-Synthesis of electrostatic binding architectures for biomimetic lubricating brush polymer

Jan 2014 - May 2017

Teaching Assistant For Plant Pathology And Immunology

Ithaca, Ny

Philosophy of the course is for students to study the chemical and physical principles governing plant signalling and immune responses towards exploring various complex social issues surrounding natural resources and develop a creative, novel solution for each of them:-Developed and implemented new course module to incorporate lab activities for the course. Taught students dissection, electron microscopy (scanning, transmission), polarized light microscopy, small-molecule synthesis of procaine from benzocaine thru microwave ovens.-Helped students with coursework, from reading primary literature to using organic chemistry relevant for biosynthesis of small-molecules and polymer chemistry to editing and reviewing their final essays describing their solutions

Sep 2016 - Dec 2016

Amgen Scholar, Columbia University (Transplantation Immunology - Sykes Lab)

Columbia Center For Translational Immunology

Dr. Megan Sykes' Bone Marrow Transplantation, Xenotransplantation Tolerance, Organ Allograft Tolerance Induction, and Type 1 Diabetes Laboratory:Involved in four separate projects:-Utilized humanized mouse model with mixed chimerism to study mechanisms driving GVHD/autoimmunity phenotype using flow cytometric techniques (presented at FOCIS 2017)-Developed cell culture protocol to expand pediatric human thymic epithelial cells and used 2-photon confocal microscopy and flow cytometry to characterize cell culture and marker phenotype (presented at International Xenotransplantation Association 2017)-Developed hydrophobicity analysis in R for T-cell receptor (TCR) sequencing data to correlate with self-reactivity (manuscript in preparation)-Proposed a mathematical model to quantify thymic export given T-cell receptor excision circle (TREC) data and the experimental ramifications of doing so. In collaboration with Dr. Andrew Yates (University of Glasgow, ARUK Chair of Mathematical Immunology and Rheumatology)

Jun 2016 - Aug 2016

Modell Scholar, Harvard Immunology (Immune Cell Metabolism - Turka Lab)

Massachusetts General Hospital, Center For Transplantation Sciences

Dr. Laurence Turka's Regulatory T Cell and Immune Cell Metabolism Laboratory:Involved in two separate projects.Utilized in vivo transplantation tolerance models to study the roles of two critical proteins in regulatory T cell function (MyD88 and PTEN). -Using flow cytometric techniques, characterized phenotype and quantified cell population changes through time.-Using a combination of in vitro cell culture and flow cytometric techniques, quantified functional marker changes in response to activation conditions.

Jun 2015 - Aug 2015
3 education records

Aditya Misra education

Doctor Of Philosophy - Phd, Medical Engineering And Medical Physics

Dissertation: Tissue-Encoded Design Principles of Host Defense (under supervision of Dr. Roni Nowarski). Secured ~$500K in funding.

High School Diploma

Parkland High School
FAQ

Frequently asked questions about Aditya Misra

Quick answers generated from the profile data available on this page.

What company does Aditya Misra work for?

Aditya Misra works for Novo Nordisk.

What is Aditya Misra's role at Novo Nordisk?

Aditya Misra is listed as Data Scientist III at Novo Nordisk.

What is Aditya Misra's email address?

AeroLeads has found 1 work email signal at @cornell.edu for Aditya Misra at Novo Nordisk.

What is Aditya Misra's phone number?

AeroLeads has found 1 phone signal(s) with area code 610 for Aditya Misra at Novo Nordisk.

Where is Aditya Misra based?

Aditya Misra is based in Cambridge, Massachusetts, United States while working with Novo Nordisk.

What companies has Aditya Misra worked for?

Aditya Misra has worked for Novo Nordisk, Massachusetts Institute Of Technology, Mit Institute For Medical Engineering And Science, Cornell University College Of Engineering, and Cornell University College Of Agriculture And Life Sciences.

How can I contact Aditya Misra?

You can use AeroLeads to view verified contact signals for Aditya Misra at Novo Nordisk, including work email, phone, and LinkedIn data when available.

What schools did Aditya Misra attend?

Aditya Misra holds Doctor Of Philosophy - Phd, Medical Engineering And Medical Physics from Massachusetts Institute Of Technology.

What skills is Aditya Misra known for?

Aditya Misra is listed with skills including Microsoft Office, Microsoft Excel, Cell Culture, Flow Cytometry, Molecular Biology, Bacterial Culture, Mouse Models, and Bioreactor.

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