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Nicholas Dinapoli Email & Phone Number

Computational Biologist - Machine Learning and Image Analysis at Stellaromics Inc.
Location: Boston, Massachusetts, United States 7 work roles 4 schools
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Role
Computational Biologist - Machine Learning and Image Analysis
Location
Boston, Massachusetts, United States
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Nicholas Dinapoli is listed as Computational Biologist - Machine Learning and Image Analysis at Stellaromics Inc., a with 49 employees, based in Boston, Massachusetts, United States. AeroLeads shows a matched LinkedIn profile for Nicholas Dinapoli.

Nicholas Dinapoli previously worked as Image Processing Engineer at Vizgen and Research Engineer at Massachusetts Institute Of Technology. Nicholas Dinapoli holds Master Of Science - Ms, Analytics from Georgia Institute Of Technology.

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Stellaromics Inc.

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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.

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Stellaromics Inc.
Stellaromics Inc.
Computational Biologist - Machine Learning and Image Analysis
Boston, MA, US
Employees
49
AeroLeads page
7 roles

Nicholas Dinapoli work experience

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Computational Biologist - Machine Learning And Image Analysis

Boston, Ma, Us

Image Processing Engineer

Current

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

Feb 2022 - Present

Research Engineer

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

Dec 2018 - Feb 2022

Intern

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.

Jun 2018 - Aug 2018

Undergraduate Researcher For Shvets'​ Group

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

Oct 2016 - May 2018

Gas Turbine Customer Applications Engineering Intern

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

May 2015 - Aug 2015

Undergraduate Researcher

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

Aug 2014 - May 2015
4 education records

Nicholas Dinapoli education

Physics

Activities and Societies: Men's Varsity Track & Field

Education record

Bethlehem Central High School
FAQ

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What company does Nicholas Dinapoli work for?

Nicholas Dinapoli works for Stellaromics Inc..

What is Nicholas Dinapoli's role at Stellaromics Inc.?

Nicholas Dinapoli is listed as Computational Biologist - Machine Learning and Image Analysis at Stellaromics Inc..

Where is Nicholas Dinapoli based?

Nicholas Dinapoli is based in Boston, Massachusetts, United States while working with Stellaromics Inc..

What companies has Nicholas Dinapoli worked for?

Nicholas Dinapoli has worked for Stellaromics Inc., Vizgen, Massachusetts Institute Of Technology, Heat Inverse, Llc, and Cornell University.

How can I contact Nicholas Dinapoli?

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What schools did Nicholas Dinapoli attend?

Nicholas Dinapoli holds Master Of Science - Ms, Analytics from Georgia Institute Of Technology.

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