Mubtasim Akhyar

Research Associate II at Dewpoint Therapeutics
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Contact Information
us****@****om
(386) 825-5501
Location
US
Languages
  • English Native or bilingual proficiency
  • Bengali Native or bilingual proficiency
  • German Elementary proficiency

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Experience

    • United States
    • Biotechnology Research
    • 100 - 200 Employee
    • Research Associate II
      • Jul 2022 - Present

    • United States
    • Biotechnology Research
    • 100 - 200 Employee
    • Associate Scientist I
      • May 2022 - Jul 2022

      Continued development of assays for Lentivirus, AAV, and Adenovirus pseudo-typing and titering from NanoView Biosciences after acquisition by Unchained Labs. Optimized and finalized components of "LentiView" kit for public release. Continued development of assays for Lentivirus, AAV, and Adenovirus pseudo-typing and titering from NanoView Biosciences after acquisition by Unchained Labs. Optimized and finalized components of "LentiView" kit for public release.

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Research Associate
      • Aug 2021 - May 2022

      Designed, iterated, and developed “LentiView” assay for local and international release using ExoView Imaging technologies to characterize Lentiviruses, engineered viruses, and retroviruses. Optimized assays to develop prototypes for a new imaging platform for successful detection and characterization of AAVs and molecules <50nm. • Successfully demo’ed newly released “LentiView” instruments, assays, and subpopulation software to Unchained Labs acquisition stakeholders and investors, leading to the acquisition of NanoView Biosciences by said stakeholders. • Increased cargo staining efficiency of Lentiviruses from <10% to 35-50% per standard Lentivirus sample through optimization of permeabilization techniques, allowing maximum permeabilization and minimum sample damage. • Optimized assays using nano-beads for the development of new imaging instruments to surpass size detection limits of particles in older instruments. • Blueprinted, beta-tested, and iterated subpopulation and colocalization analysis tools and successfully quantitated titer characteristics of virus samples and enhanced characterization of sample impurities in respective preps.

    • United States
    • Government Administration
    • 400 - 500 Employee
    • Business Analyst Intern
      • Jun 2019 - May 2021

      Aided systems and operations activities for multi-phase implementation of Comfort Home, Clean and Renewable Energy Internships, and other NYS energy programs. Documented business requirements and created process flows to execute energy tech pilots. Conducted User Acceptance and Standard Quality Assurance testing for project management Salesforce builds allowing for enterprise-wide deployment of Salesforce in pilot designs. Built and engaged dashboard to monitor heating oil, kerosene, and propane prices across regional distributions of contractors. • Designed and implemented customer segmentation module for low-to-moderate and multi-family programs extending one pilot from 6 to 18 months. • Secured and distributed training material for data management and acted as Voice of Customer for internal tableau and JIRA training sessions.

    • Research Assistant
      • Mar 2019 - May 2021

      Pipetted and spotted 20+ antigens onto gold-grated chips and ran chip-based ELISA-like protocol on Lyme patient serum. Programmed Robot Spotter to create Lyme antigen spots on chips in protein-quartet variations. Obtained diagnosis metrics from Biobanks and Albany Medical Center to conduct biochip assay for cross-validation and analysis with clinical patient serum. Produced Standard Operating Procedure (SOP) for lab protocols to guarantee experimental consistency across lab members’ work. Taught and supervised SOP to 2 incoming graduate students. • Increased antibody identification sensitivity from 50-70% for the Standard Two-Tiered Tests to 90% while maintaining 100% specificity using microarray assay of Lyme antigens on chips and Lyme (+) and (-) clinical patients’ serum to test and confirm assay efficacy • Designed, trained, and tested predictive machine learning algorithm to diagnose Lyme with 15 disease antigens across 31 clinical patients’ serum by employing LIBSVM and Scikit-learn python packages • Devised PCA and SVD algorithm to locate specific and effective Lyme antigens with 80% variance in (+) and (-) diagnosis results from Grating-Coupled Fluorescent Plasmonic images.

    • United States
    • Non-profit Organizations
    • 100 - 200 Employee
    • District Awards Chair
      • May 2019 - Apr 2020

      • Coordinated Awards ceremonies for New York Circle K Conferences and Conventions• Established recognition for Circle K Members across New York State for their accomplishments in service, fellowship, and leadership across various communities and organizations

    • Secretary
      • Oct 2018 - Oct 2019

      • Processed and organized member registrations and service hours.• Created datasheets to organize service hours, attendance, and minutes.• Created Monthly Report Forms for Kiwanis and Circle K International.

  • Helping Hand Relief & Development
    • Greater New York City Area
    • Marketing Intern
      • Jun 2018 - Aug 2018

      • Processed and filed records such as Fundraiser funds, ICNA Convention Registrations, and Relief donations. • Scanned archived documents onto databases created for subgroups of stored information. • Prepared reports detailing project updates, performance information, and ongoing trends. • Processed and filed records such as Fundraiser funds, ICNA Convention Registrations, and Relief donations. • Scanned archived documents onto databases created for subgroups of stored information. • Prepared reports detailing project updates, performance information, and ongoing trends.

    • United States
    • Environmental Services
    • 1 - 100 Employee
    • Student Intern
      • Jul 2016 - Sep 2016

      • Generated data models, performed heat capacities analysis and helped produce reports outlining results. • Designed robots catering to specific environmental surface types using Autodesk Inventor and 3D-Printing techniques. • Programmed robots to complete environmental tasks using C+ and Python programming. • Generated data models, performed heat capacities analysis and helped produce reports outlining results. • Designed robots catering to specific environmental surface types using Autodesk Inventor and 3D-Printing techniques. • Programmed robots to complete environmental tasks using C+ and Python programming.

    • Youth Ambassador
      • Nov 2015 - Jun 2016

      Participate in Bi-monthly workshops to discuss Korean history, language, culture, and foreign relations and go on a 10-day study tour to South Korea. Participate in Bi-monthly workshops to discuss Korean history, language, culture, and foreign relations and go on a 10-day study tour to South Korea.

Education

  • SUNY Polytechnic Institute Colleges of Nanoscale Science + Engineering
    Bachelor's degree, Nanoscale Engineering
    2017 - 2021
  • High School for Math, Science and Engineering at City College
    2013 - 2017

Community

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