Arudhir Singh

Arudhir Singh

Cambridge, Massachusetts, United States
721 followers 500+ connections

Join to view profile
University of Illinois at Urbana-Champaign

About

Computational physicist by education; bioinformatician by trade; biologist at…

Activity

Join now to see all activity

Experience

  • Pepper Bio Graphic

    Pepper Bio

    Cambridge, Massachusetts, United States

  • -

    Boston, Massachusetts, United States

  • -

    Boston, Massachusetts, United States

  • -

    Boston, Massachusetts, United States

  • -

    Boston, Massachusetts

  • -

    Carl R. Woese Institute for Genomic Biology

Education

  • University of Illinois at Urbana-Champaign

    -

Licenses & Certifications

Courses

  • Algorithms and Models of Computation

    CS 374

  • Applied Complex Variables

    MATH 446

  • Applied Linear Algebra

    MATH 415

  • Biomolecular Engineering

    CHBE 473

  • Cancer Nanotechnology

    BIOE 479

  • Cells, Tissues & Development

    MCB 252

  • Classical Mechanics I

    PHYS 325

  • Classical Mechanics II

    PHYS 326

  • Computer Architecture

    CS 233

  • Data Structures

    CS 225

  • Differential Equations

    MATH 285

  • Discrete Structures

    CS 173

  • Electromagnetic Fields I

    PHYS 435

  • Experimental Methods in Biophysics

    PHYS 598

  • Experimental Techniques in Cellular Biology

    MCB 253

  • Human Anatomy & Physiology

    MCB 244

  • Intro Partial Differential Equations

    MATH 442

  • Intro to Computer Science

    CS 125

  • Molecular Genetics

    MCB 250

  • Organic Chemistry I

    CHEM 232

  • Quantum Physics I

    PHYS 486

  • Relativity and Math Applications

    PHYS 225

  • Statistics and Probability

    MATH 463

  • Subatomic Physics

    PHYS 470

  • System Programming

    CS 241

  • Techniques in Biomolecular Eng

    CHBE 472

Projects

  • Mock R21: Tumor Spheroid Analysis Using Microenvironmentally Accurate 3D Microfluidics

    -

    This project aims to emulate 3D tumor microenvironments with abnormal tumor vasculature combined with tumor spheroids on a chip and use it as a platform for drug testing. Modeling abnormal vasculature can be done by using signal gradients that incorporate angiogenic chemokines like VEGF. We will use U87MG glioblastoma cancer cells embedded in a hyaluronic acid matrix as our starting base. For tumor angiogenesis mimicking, we will embed human dermal microvascular endothelial cells (HDMECs)…

    This project aims to emulate 3D tumor microenvironments with abnormal tumor vasculature combined with tumor spheroids on a chip and use it as a platform for drug testing. Modeling abnormal vasculature can be done by using signal gradients that incorporate angiogenic chemokines like VEGF. We will use U87MG glioblastoma cancer cells embedded in a hyaluronic acid matrix as our starting base. For tumor angiogenesis mimicking, we will embed human dermal microvascular endothelial cells (HDMECs) encapsulated in matrix/hydrogel droplets into the original matrix of cancer cells on chip. HDMEC cells in droplet have been shown to sprout tumor like vessels when exposed to pro­angiogenic growth factors. The angiogenic vasculature growth will be controlled by two means: 1. Strategic placement of the HDMEC droplets, and 2: Precise control on gradient of angiogenic growth factors like VEGF within the matrix. The angiogenic growth factors will be delivered using micro­injector based systems until connected, fully developed abnormal vascular networks are formed. The cancer cells and embedded HDMECs will be provided medium through microfluidic networks, which will also be used for drug testing in the final phase of the process. If we successfully mimic the tumor vasculature and the environment, it will not only give us a platform to understand the tumor­ drug interaction better but also an efficient platform for drug testing.

    Other creators

Honors & Awards

  • Silver Medal - Information Processing Track

    iGEM

    The UIUC iGEM team was awarded with a silver medal in the information processing track for our work with standardizing and modularizing SCRIBE, a synthetic genomic device which allows memory from stimuli to be recorded in an analog manner.

  • 4th Place Speaker; All-State Debate Team

    Illinois High School Association

    Awarded fourth place speaker at the IHSA state debate tournament and was chosen for the All-State Team for Lincoln-Douglas debate. The topic for the debate was "Resolved: Targeted killing is a morally permissible foreign policy tool."

Organizations

  • UIUC iGEM Team (International Genetically Engineered Machine Competition)

    Team Leader

    -

    http://2015.igem.org/Team:UIUC_Illinois * Lead a team of ten undergraduates to submit and present an entry in the Information Processing track at iGEM * Awarded silver medal in Information Processing * Spearheaded the standardization of a pre-existing synthetic cellular analog memory construct as well as integrated enhanced usability and modularity for the system in Escherichia coli * Trained new members of the team in lab protocols and proper experimental procedures * Planned and…

    http://2015.igem.org/Team:UIUC_Illinois * Lead a team of ten undergraduates to submit and present an entry in the Information Processing track at iGEM * Awarded silver medal in Information Processing * Spearheaded the standardization of a pre-existing synthetic cellular analog memory construct as well as integrated enhanced usability and modularity for the system in Escherichia coli * Trained new members of the team in lab protocols and proper experimental procedures * Planned and delegated daily wet-lab and dry-lab tasks and managed monthly expenses

  • UIUC iGEM Team (International Genetically Engineered Machine Competition)

    Member

    -

    * Engineered Lactobacillus plantarum to degrade theobromine through a heterologous N-demethylase pathway to cure chocolate toxicity in small animals for the International Genetically Engineered Machine (iGEM) competition * Developed and utilized a Python2 script to expedite diagnostic restriction digests https://github.com/arudhir/Illinois-iGEM-2014/blob/master/Cutsultant.py

More activity by Arudhir

View Arudhir’s full profile

  • See who you know in common
  • Get introduced
  • Contact Arudhir directly
Join to view full profile

Other similar profiles

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Add new skills with these courses

See all courses