Jun Dai
AeroLeads people directory · profile

Jun Dai Email & Phone Number

Bioinformatics | Data Science | Computational Biology | Causal Machine Learning at Aitia
Location: Dallas-Fort Worth Metroplex, United States, United States 9 work roles 2 schools
1 work email found @gnshealthcare.com 2 phones found area 402 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email j****@gnshealthcare.com
Direct phone (402) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Bioinformatics | Data Science | Computational Biology | Causal Machine Learning
Location
Dallas-Fort Worth Metroplex, United States, United States

Who is Jun Dai? Overview

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

Quick answer

Jun Dai is listed as Bioinformatics | Data Science | Computational Biology | Causal Machine Learning at Aitia, based in Dallas-Fort Worth Metroplex, United States, United States. AeroLeads shows a work email signal at gnshealthcare.com, phone signal with area code 402, and a matched LinkedIn profile for Jun Dai.

Jun Dai previously worked as Research Scientist at Aitia and Bioinformatics Scientist at Ayass Bioscience, Llc. Jun Dai holds Doctor Of Philosophy (Phd), Chemistry from University Of Science And Technology Of China.

Company email context

Email format at Aitia

This section adds company-level context without repeating Jun Dai's masked contact details.

{first_initial}{last}@gnshealthcare.com
86% confidence

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

Profile bio

About Jun Dai

Jun Dai is a Bioinformatics | Data Science | Computational Biology | Causal Machine Learning at Aitia. They possess expertise in fortran, linux, computational physics, computational chemistry, solar cells and 10 more skills. They is proficient in English.

Listed skills include Fortran, Linux, Computational Physics, Computational Chemistry, and 11 others.

Current workplace

Jun Dai's current company

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

Aitia
Aitia
Bioinformatics | Data Science | Computational Biology | Causal Machine Learning
AeroLeads page
9 roles

Jun Dai work experience

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

Research Scientist

Current

Somerville, Massachusetts, US

  • Target identification and validation using in-house causal machine learning platform
  • Develop deep learning models with cancer dependency map and connectivity map data for target validation and biomarker discoveries
  • Using multi-omics data from public domain and data vendors for oncology studies
  • Using single cell RNA-seq data for target identification at both cell and pseudo-bulk level
Aug 2022 - Present

Bioinformatics Scientist

Frisco, Texas, US

  • Solid tumor metastasis prediction based on mutation, fusion and copy number alternations;
  • Single strand DNA aptamers design targeting the neutralization of viral or allergen proteins;
  • Proteomics data enrichment and pathway analysis, etc.
Jul 2021 - Aug 2022

Research Assistant Professor

Lincoln, NE, US

  • Lead 3 collaborative projects on simulation side with 4 teams nationwide, published 6 peer reviewed papers, filed one patent application.
  • Provided a solution to directly predict the efficiency of 2D carbon-based materials from structures through a combination of machine learning and high-throughput calculations using Python with R-squared score over 95%.
  • Collected a dataset of about 2500 samples for 2D perovskites by combining in-house data and running SQL queries from open-sourced material databases. Trained and optimized deep learning graph convolutional neural.
Nov 2018 - Jun 2021

Professional Development

Lincoln, NE, US

  • Using Python, Request and Beautiful Soup, scraped about 4000 house information in the Omaha, Lincoln and Des Moines area from zillow. Complemented the nearby venues data using Foursquare API. Performed both regression.
  • Using Python scikit-learn and pySurvival, trained random forest and xgboost models to predict the patient mortality based on the queried data, the best AUROC achieved is 0.87; performed survival analysis to predict the.
  • Using VGG16, VGG19, MobileNet or Inception networks as based model, and pre-trained parameters from ImageNet, performed transfer learning in the framework of tensorflow to diagnosis pneumonia disease in 5863 chest.
  • Implemented an interactive financial management system using Java and SQL. The system has functions of modifying, retrieving user and assets data, and providing financial reports for portfolios, such as total value.
Jan 2017 - May 2019

Data Scientist

San Francisco, CA, US

  • Delivered a data process strategy to a client company for feature engineering and product categorization.
  • Using Python, NLP sentence embedding based on Google's Universal Sentence Encoder and tensorflow, designed a model to classify products into a taxonomy customized for a consulting client.
  • Categorized 151256 products from 9 different retailers into 708 customized categories, significantly increased the taxonomy granularity from 2-tier to 5-tier.
Sep 2019 - Dec 2019

Lecturer

University Of Nebraska At Omaha
  • Taught two sections of general physics for a class of 50 undergraduate and graduate students with diverse background.
  • Designed and implemented new course curriculum, lesson plans, and assessment tools for diverse group of students.
Jan 2017 - May 2017

Postdoc

Lincoln, NE, US

  • Using particle swarm optimization algorithm for genetic evolution and random sampling, systematically studied the 2D structures of boron and boron-related materials, the ground state structures were obtained by.
  • Theoretically predicted the high- and anisotropic carrier mobility in 2D titanium trisulfide for the first time, developed and led collaboration with experimental groups for the synthesis and characterization.
  • Computationally studied phosphorene as a donor material in optoelectronic applications for the first time, this work is cited by Wikipedia.
Oct 2011 - Oct 2016

Research Assistant

Hefei, Anhui, CN

  • Developing an in-house software Order-N Quantum Chemistry Package for Large Scale Ab Initio Simulation (ONPAS) for first-principles calculations.
  • Predicted a new 3D boron phase, evaluated its stability and relative formation entropy as compared to other 3D boron phases.
  • Using lattice dynamics and electron-phonon coupling techniques, predicted the existence of high temperature (above liquid nitrogen) superconductivity in 2D B2C.
  • In charge of the administration of in-house computing clusters.
Sep 2004 - Apr 2011
2 education records

Jun Dai education

Doctor Of Philosophy (Phd), Chemistry

University Of Science And Technology Of China

Bachelor'S Degree, Physical Chemistry

University Of Science And Technology Of China
FAQ

Frequently asked questions about Jun Dai

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

What company does Jun Dai work for?

Jun Dai works for Aitia.

What is Jun Dai's role at Aitia?

Jun Dai is listed as Bioinformatics | Data Science | Computational Biology | Causal Machine Learning at Aitia.

What is Jun Dai's email address?

AeroLeads has found 1 work email signal at @gnshealthcare.com for Jun Dai at Aitia.

What is Jun Dai's phone number?

AeroLeads has found 2 phone signal(s) with area code 402 for Jun Dai at Aitia.

Where is Jun Dai based?

Jun Dai is based in Dallas-Fort Worth Metroplex, United States, United States while working with Aitia.

What companies has Jun Dai worked for?

Jun Dai has worked for Aitia, Ayass Bioscience, Llc, University Of Nebraska-Lincoln, Insight Data Science, and University Of Nebraska At Omaha.

How can I contact Jun Dai?

You can use AeroLeads to view verified contact signals for Jun Dai at Aitia, including work email, phone, and LinkedIn data when available.

What schools did Jun Dai attend?

Jun Dai holds Doctor Of Philosophy (Phd), Chemistry from University Of Science And Technology Of China.

What skills is Jun Dai known for?

Jun Dai is listed with skills including Fortran, Linux, Computational Physics, Computational Chemistry, Solar Cells, Semiconductors, Materials Science, and Java.

Find 750M verified contacts

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