Mount Sinai Health System

High dimensional exposures, multi-omics, and machine learning in environmental health - Dr. Yike Shen

Dr. Yike Shen is an Assistant Professor of Earth and Environmental Sciences at The University of Texas at Arlington. She completed her postdoc training at Dr. Andrea Baccarelli's lab at Columbia University Mailman School of Public Health. She obtained her Ph.D. from Michigan State University. Dr. Shen's research program focuses on environmental health data science where they integrate environmental exposures, multi-omics, and health outcomes. 

 

Title of Talk: High dimensional exposures, multi-omics, and machine learning in environmental health

 

High-dimensional data in environmental health sciences present unprecedented challenges and opportunities. In this presentation, I will share my research spanning from microbiome epidemiology to precision computational environmental health. Humans are exposed to a myriad of environmental pollutants (e.g., pharmaceuticals and personal care products, metals, pesticides, etc.) every day. Exposure assessment and toxicology are critical in chemical risk assessment. I will talk about our successful prediction of hundreds of pesticide dissipation half-life intervals in the fields using machine learning models. I will also discuss our work in computational toxicology where we developed a deep learning model to learn latent space chemical representations of hundreds of physiochemical features to accurately predict in vivo chemical ecotoxicity. Exposures also result in changes in omics – biomarkers of health outcomes. Individual or mixtures of pollutants may relate to changes in the human gut microbiome and further impact human health. I will share my work in microbiome epidemiology studying the influences of environmental metals on the pediatric gut microbiome in a healthy gestation cohort. Finally, inspired by knowledge-driven discovery initiatives, I will talk about our work constructing a knowledge graph towards open science and knowledge-driven discovery for cohort studies. In the future, I will keep integrating high-dimensional exposures, multi-omics, and health outcomes to protect human health.

 

 

 

 

 

Time: Dec 13, 2023 12:00 PM Eastern Time

 

Join Zoom Meeting:

https://mssm.zoom.us/j/85804342566

 

Meeting ID: 858 0434 2566

 

---

 

One tap mobile

+16469313860,,85804342566# US

+19294362866,,85804342566# US (New York)

 

---

 

Dial by your location

• +1 646 931 3860 US

• +1 929 436 2866 US (New York)

• +1 309 205 3325 US

• +1 312 626 6799 US (Chicago)

• +1 301 715 8592 US (Washington DC)

• +1 305 224 1968 US

• +1 360 209 5623 US

• +1 386 347 5053 US

• +1 507 473 4847 US

• +1 564 217 2000 US

• +1 669 444 9171 US

• +1 669 900 6833 US (San Jose)

• +1 689 278 1000 US

• +1 719 359 4580 US

• +1 253 205 0468 US

• +1 253 215 8782 US (Tacoma)

• +1 346 248 7799 US (Houston)

Wednesday, December 13, 2023 at 12:00pm to 1:00pm