Nicholas Dinapoli

Nicholas Dinapoli Email and Phone Number

Computational Biologist - Machine Learning and Image Analysis @ Stellaromics Inc.
Boston, MA, US
Nicholas Dinapoli's Location
Boston, Massachusetts, United States, United States
About Nicholas Dinapoli

I am currently working in the R&D Bioinformatics group at Vizgen. In 2023, I obtained my Master's in Data Analytics from Georgia Institute of Technology. Previously, I completed my undergraduate work at Cornell University in 2018 as an Engineering Physics major. I consider myself a hard working and dependable engineer with a passion for research, innovation, and the computational sciences. I am known by peers as an analytical thinker with unique strengths having unmatched enthusiasm, interpersonal, and leadership skills.

Nicholas Dinapoli's Current Company Details
Stellaromics Inc.

Stellaromics Inc.

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Computational Biologist - Machine Learning and Image Analysis
Boston, MA, US
Website:
stellaromics.com
Employees:
49
Nicholas Dinapoli Work Experience Details
  • Stellaromics Inc.
    Computational Biologist - Machine Learning And Image Analysis
    Stellaromics Inc.
    Boston, Ma, Us
  • Vizgen
    Image Processing Engineer
    Vizgen Feb 2022 - Present
    Cambridge, Massachusetts, United States
    Vizgen is dedicated to pioneering the next generation of genomics, providing tools that demonstrate the possibilities of in situ single cell spatial genomics, setting the standard for the spatial genomics field. These tools are enabling researchers to gain new insight into the biological systems that govern human health and disease with spatial context. The company's MERSCOPE Platform enables massively multiplexed, genome-scale nucleic acid imaging with high accuracy and unrivaled detection efficiency at subcellular resolution. MERSCOPE provides transformative insight into a wide range of tissue-scale basic research and translational medicine in oncology, immunology, neuroscience, infectious disease, developmental biology, cell and gene therapy, and is an essential tool for accelerating drug discovery and development.■ Collaborated to construct a custom U-Net for 3D cell segmentation ofhigh-dimensional, high resolution microscopy datasets■ Co-led the end-to-end model development process of said custom architecture, through implementation with existing software■ Technical lead of Cellpose2 Human-in-the-Loop workflow project■ Assisted in the development of the Vizgen Post-processing Tool and was responsible for verification and validation ■ Technical lead and repository owner of experimental & segmentation metrics projects to produce analytics for internal/external customers■ Responsible for supporting custom cell segmentation runs and data flow for internal/external customersAuthored Pages (https://vizgen.github.io/vizgen-postprocessing/)■ Analysis Vignette■ Building a Third-Party Plugin■ Multiple Entities
  • Massachusetts Institute Of Technology
    Research Engineer
    Massachusetts Institute Of Technology Dec 2018 - Feb 2022
    Cambridge, Ma
    The Chung Lab is an interdisciplinary research team devoted to developing and applying novel technologies for holistic understanding of large-scale complex biological systems. Specifically, we develop a host of methods that enable identification of multi-scale functional networks and interrogation of their system-wide, multifactorial interactions. We are applying these technologies for studying brain function and dysfunction using animal models and human clinical samples. We openly share research outcomes to empower the scientific community.■ Automated and manual alignment of acquired datasets to the Allen Brain Atlas■ Built deep CNN models for cell classification & assisted in building a cell phenotyping framework using convolutional neural networks■ CNN analysis, imaging analysis, and image processing using machine learning algorithms■ Tissue clearing using Stochastic Electrotransport■ Rapid tissue labeling using eFLASH■ Tissue imaging using light sheet fluorescence microscopy■ Device design for a custom vibratome used for human and animal brain sectioning■ Conceptualizing, designing, and constructing various hardware for tissue processing ■ Project manager for NIH human brain mapping project (manage ~a few million $ annually)■ Managing director of the lab's pipeline
  • Heat Inverse, Llc
    Intern
    Heat Inverse, Llc Jun 2018 - Aug 2018
    Ithaca, Ny
    Engineering, product design, numerical simulations, system analysis, coding and software development, business research and development, market research, written communications, meetings, oral presentations to the group, investors and/or the public.■ Designed photonic systems employing heavily researched viable materials to achieve cooling with zero-energy input. Presented on expertise of waveguides, scattering theory, and optics. Assisted business development and market research.
  • Cornell University
    Undergraduate Researcher For Shvets'​ Group
    Cornell University Oct 2016 - May 2018
    Ithaca, Ny
    Selected by Dr. Gennady Shvets to conduct research. The goal of this research is to use dielectrophoresis to selectively capture circulating tumor cells followed by using infrared spectroscopy of the cancer cells enhanced by metallic metasurfaces.■ Designed, modeled and constructed a microfluidic device to be used for dielectrophoresis■ Built the external optical setup for the FTIR spectrometer including off-axis parabolic mirror alignment and made improvements to said setup■ Examined frequency response of A431 cell line to determine threshold frequency for dielectrophoresis and modified protocol to better the experiments■ Implemented 3D particle tracking algorithm followed by creating and completing an experiment for reference stack generation■ Performed bare, antibody, live cell, fixed cell, and dry cell IR measurements on metasurfaces for RKO, CCD841, HCT116, & A431 cell lines■ Measured and analyzed IR spectra of 868 unique gold metasurface configurations with four degrees of freedom
  • Ge Power & Water
    Gas Turbine Customer Applications Engineering Intern
    Ge Power & Water May 2015 - Aug 2015
    Schenectady, Ny
    Responsible for automating proposal text for speed of proposals, impacting the delivery of over 350 proposals selling GE’s heavy duty gas turbines and generators submitted each year to customers.■ Developed a high level algorithm for editing over 100 pages of proposal text with over 3,000 embedded codes used to propose customized solutions to customers■ Automated the editing process of proposal templates by programming in Python allowing process to be repeated in the future■ Edited and updated 16 documents by fixing/extracting faulty codes■ Led, organized, and reviewed the weekly global Engineering Proposal Deviation Review meetings
  • Ithaca College
    Undergraduate Researcher
    Ithaca College Aug 2014 - May 2015
    Ithaca, Ny
    Selected by Dr. Kelley D. Sullivan to conduct research.Perfected procedures with negative control 4T1 breast cancer cell line in preparation to investigate the interaction between proteins, β-arrestin and β-adrenergic receptor, in two highly metastatic human breast cancer cell lines, MB-231 and MB-231 Brain.■ Imaged, split, counted, stained, fixed, and mounted 4T1 breast cancer cells daily to have hearty cells■ Mathematically and graphically analyzed 4T1 growth curve to calculate the doubling time of cell line■ Improved protocol by testing 5 time intervals of acetone fixation and updating initial cell counts for splitting■ Successfully aligned 500mW laser to microscope stage using 8 mirrors, 3 lenses, beam expander, and filter■ Analyzed 25 videos and 4 different variables to conclude diffusion coefficient in Brownian Motion of fluospheres■ Determined microscope’s resolution by imaging 120 fluospheres and analyzing their intensity Gaussian curves

Nicholas Dinapoli Education Details

Frequently Asked Questions about Nicholas Dinapoli

What company does Nicholas Dinapoli work for?

Nicholas Dinapoli works for Stellaromics Inc.

What is Nicholas Dinapoli's role at the current company?

Nicholas Dinapoli's current role is Computational Biologist - Machine Learning and Image Analysis.

What schools did Nicholas Dinapoli attend?

Nicholas Dinapoli attended Georgia Institute Of Technology, Cornell University, Ithaca College, Bethlehem Central High School.

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