Julia Lewandowski
AeroLeads people directory · profile

Julia Lewandowski Email & Phone Number

Data Science Associate at New York Genome Center
Location: New York City Metropolitan Area, United States 10 work roles 3 schools
1 work email found @dal.ca LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email j****@dal.ca
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Science Associate
Location
New York City Metropolitan Area, United States
Company size

Who is Julia Lewandowski? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Julia Lewandowski is listed as Data Science Associate at New York Genome Center, a with 279 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at dal.ca and a matched LinkedIn profile for Julia Lewandowski.

Julia Lewandowski previously worked as Research Assistant at New York Genome Center and Software Developer at Dalhousie University. Julia Lewandowski holds Master Of Science - Ms, Computer Science from Columbia University.

Company email context

Email format at New York Genome Center

This section adds company-level context without repeating Julia Lewandowski's masked contact details.

{first}.{last}@dal.ca
86% confidence

AeroLeads found 1 current-domain work email signal for Julia Lewandowski. Compare company email patterns before reaching out.

Profile bio

About Julia Lewandowski

Hi! I'm Julia, a software developer and data scientist passionate about machine learning. As a Master of Science in Computer Science student at Columbia University, I'm specializing in AI/ML to further study best practices for transforming complex data into actionable insights. I am a creative problem solver interested in applying machine learning and other cutting-edge computational techniques to solve interdisciplinary problems and explore data. I have 2 years of research experience developing software to study microbial genomics, with a special focus on antimicrobial resistance (AMR). Notably, I have developed scalable workflows for large datasets in high-performance computing environments, applied unsupervised machine learning algorithms and deep learning embedding approaches to genomic data, and designed and implemented visualization software for exploratory data analysis. I have also undertaken an honors thesis project where I designed a machine learning-based methodology for formulating gene order-based embeddings in the spirit of word embeddings to identify candidate antimicrobial resistance genes. My background has fostered my ability to think critically and innovatively, as well as given me hands-on experience with ML libraries including Scikit-Learn, TensorFlow, and PyTorch.In addition to my technical experience, I also have significant leadership experience through my role as a communications and outreach assistant for a local government official, as well as through my volunteer work with various health and education-focused non-profits. I am always interested in opportunities to apply my skills to new projects. I am currently exploring 2025 new grad roles within the US. Please feel free to connect with me through my LinkedIn profile or by reaching out to jtl2189@columbia.edu!

Listed skills include Leadership, Presentation Skills, Pandas, Scikit Learn, and 41 others.

Current workplace

Julia Lewandowski's current company

Company context helps verify the profile and gives searchers a useful next step.

New York Genome Center
New York Genome Center
Data Science Associate
New York, NY, US
Website
Employees
279
AeroLeads page
10 roles

Julia Lewandowski work experience

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

Research Assistant

Current

New York City Metropolitan Area

Working in the Knowles lab at the New York Genome Center in affiliation with Columbia University. My work involves applying machine learning to transcriptomic data, specifically interpreting differential splicing in terms of splicing factor activity in human cell lines.

May 2024 - Present

Software Developer

Halifax, Nova Scotia

• Developed a Nextflow scalable workflow for synteny analysis of antimicrobial resistance (AMR) genes suitable for HPC environments and compatible with Docker and Singularity.• Applied unsupervised machine learning algorithms to gene order analysis for large genomic datasets of bacterial whole genome sequences.• Designed and implemented a visualization application, Coeus, using Flask and Plotly Dash for exploratory data analysis of gene neighborhoods and to compare gene order against machine learning clustering results of gene neighborhoods.• Collaborated with a core team of researchers to gather software usage feedback, implement augmentations, and support integration of workflow into larger ARETE software pipeline.• Presented ongoing research at three conferences, including local and international venues.

Sep 2022 - Aug 2023

Marker

Halifax, Nova Scotia, Canada

Assignment and midterm marker for CSCI 3151: Introduction to Machine Learning.• Marked machine learning concepts assignments for 50 students in a timely manner.• Collaboratively marked midterms and provided feedback regarding the marking scheme to the instructor.• Provided relevant feedback and clarifications to students to support their learning.

May 2022 - Aug 2022

Nserc/Fcs Usra Research Assistant

Halifax, Nova Scotia, Canada

Engaged in 16 weeks of full-time bioinformatics research internship under the supervision of Dr. Robert Beiko with his research lab in the Bioinformatics and Algorithms research cluster.• Designed Nextflow scalable workflow for gene order analysis applying clustering algorithms (UPGMA, MCL, DBSCAN) to the analysis of AMR gene neighborhoods. • Delivered talk on honours thesis at ARETE All-Hands meeting attended by interdisciplinary collaborators from across Canada and the UK.

May 2022 - Aug 2022

Marker

Halifax, Nova Scotia, Canada

Lab marker for CSCI 2134: Introduction to Software Development.• Marked weekly labs for 130 students in a timely manner. • Provided relevant feedback and clarifications to students to support their learning.

Sep 2021 - Dec 2021

Teaching Assistant

Halifax, Nova Scotia, Canada

Teaching Assistant for CSCI 2134: Introduction to Software Development.• Led weekly lab sessions of 40 students and supported them in following best software development practices using Java and Git. • Hosted independent office hours for class of over 200 students and tutored students one-on-one on concepts such as SOLID principles, OOP, test-driven development, unit testing, debugging, and refactoring.

Sep 2020 - Dec 2021

Nserc/Fcs Usra Research Assistant

Engaged in 16 weeks of full-time bioinformatics research internship under the supervision of Dr. Robert Beiko with his research lab in the Bioinformatics and Algorithms research cluster.• Collaborated with masters student to design a software pipeline in Python for the analysis of AMR gene neighbourhoods and associated phylogenies.• Co-presented on research and results at monthly meeting of multi-university ARETE research group.

May 2020 - Aug 2020

Communications And Outreach Assistant

Ben Jessome Mla Office (Hammonds Plains - Lucasville)

Assistant for Member of Legislative Assembly (MLA) Ben Jessome. Worked full-time during Summer 2018 and continued in a part-time capacity working in-office and remotely from September 2018 - May 2020. • Managed MLA's Facebook, Twitter, Instagram pages, and website updates ensuring community-oriented content and detailing relevant provincial funding programs.• Created community newsletters, event posters, and press releases for distribution.• Engaged in community outreach attending meetings with constituents, canvassing door-to-door in residential neighborhoods and places of business, and assisted in preparing formal presentation materials.

Jun 2018 - May 2020

Sales Associate

Upper Hammonds Plains, Nova Scotia, Canada

• Dealt professionally and compassionately with customers to address their needs and improve their retail experience.• Handled cash register transactions, managed inventory, and assisted pharmacist.

Jan 2016 - May 2018
Team & coworkers

Colleagues at New York Genome Center

Other employees you can reach at nygenome.org. View company contacts for 279 employees →

3 education records

Julia Lewandowski education

Master Of Science - Ms, Computer Science

Activities and Societies: Columbia AI Alignment Club (CAIAC) AI Safety Fellowship Track: Thesis (RNA Splicing Enrichment Research @ New.

Bachelor Of Computer Science (Bcs), Honours Computer Science

Major: Computer Science Minor: Chemistry Certificate: Data Science • Graduated with First Class Honours • Honours Thesis: Distributed gene.

Creative Writing

Participant in the 2019 Yale Writer's Workshop (Summer Session).

FAQ

Frequently asked questions about Julia Lewandowski

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

What company does Julia Lewandowski work for?

Julia Lewandowski works for New York Genome Center.

What is Julia Lewandowski's role at New York Genome Center?

Julia Lewandowski is listed as Data Science Associate at New York Genome Center.

What is Julia Lewandowski's email address?

AeroLeads has found 1 work email signal at @dal.ca for Julia Lewandowski at New York Genome Center.

Where is Julia Lewandowski based?

Julia Lewandowski is based in New York City Metropolitan Area, United States while working with New York Genome Center.

What companies has Julia Lewandowski worked for?

Julia Lewandowski has worked for New York Genome Center, Dalhousie University, Natural Sciences And Engineering Research Council Of Canada (Nserc), Government Of Nova Scotia, and Guardian Pharmacy.

Who are Julia Lewandowski's colleagues at New York Genome Center?

Julia Lewandowski's colleagues at New York Genome Center include Heather Lewis, Ed.D, Jennifer Sun, Shree Thavarekere, Clint Beilman, and Poppy Brace.

How can I contact Julia Lewandowski?

You can use AeroLeads to view verified contact signals for Julia Lewandowski at New York Genome Center, including work email, phone, and LinkedIn data when available.

What schools did Julia Lewandowski attend?

Julia Lewandowski holds Master Of Science - Ms, Computer Science from Columbia University.

What skills is Julia Lewandowski known for?

Julia Lewandowski is listed with skills including Leadership, Presentation Skills, Pandas, Scikit Learn, Git, Linux, Data Science, and Algorithms.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.

People with similar names

Check these profiles if this is not the Julia Lewandowski you were looking for.

View similar profiles