Junhao (Hao) Wen
@JunhaoWen
Followers
635
Following
2K
Media
102
Statuses
665
#!/bin/bash echo "Surfer, climber, snowboarder, mountaineer, and researcher" echo "PI of LABS (@labs_pi_hao) at Columbia, NYC"
🇨🇳 🇫🇷 🇬🇧 🇺🇸
Joined March 2022
We have multiple openings for PhD candidates and postdoc positions: https://t.co/NiNK3LxvBD!
1
22
47
Apply to be a Faculty Fellow at the NYU Center for Data Science (CDS)! This is by default a two year position, with a light teaching load (one course a year), and full research independence, and opportunities to collaborate with CDS faculty and students. Deadline: November 24. 🧵
2
30
97
Nine new tenure-track faculty join Johns Hopkins Computer Science! And we aren’t done growing yet 😀 @JHUCompSci @HopkinsDSAI @HopkinsEngineer
https://t.co/hubrokzdLb
cs.jhu.edu
Their research spans social computing and human-computer interaction to the theoretical foundations and real-world applications of machine learning models.
3
8
110
My department,@CornellBME, is hiring! This tenure-track faculty position is a great opportunity to join a vibrant community that values research, teaching, and entrepreneurship. 📝 https://t.co/MfpwRqTVdB
@CornellEng @Cornell
0
21
43
Thank you for inviting me! Feixiong! It’s fabulous to see you have been building such a vibrant team at Cleveland!
Today, we are so lucky to have @JunhaoWen to visit our Genome Center give us a fantastic systems biology seminar to introduce his many exciting works on multi-organ aging and imaging genetics on pan-organ aging and Alzheimer’s diseases. A super star in imaging genetics!!
0
1
8
Assistant Professor faculty position at @UCBerkeley focusing on metabolic disease. 🤩 https://t.co/vV96QoZCwZ
aprecruit.berkeley.edu
University of California, Berkeley is hiring. Apply now!
2
55
96
Identifying and validating 7 organ clocks based on MRI https://t.co/ZTu0rfl7re
nature.com
Nature Medicine - A new study combines MRI data with proteomic, metabolomic and RNA data to develop and examine seven organ-specific MRI-based aging clocks, uncovering links to overall mortality...
2
40
160
Finally, we assessed the predictive power of the 7 MRIBAGs for disease endpoints and all-cause mortality using survival analyses. In addition, using A4 data, we found the high/low expression of the brain MRIBAGs demonstrated substantial heterogeneity in the cognitive decline
0
1
2
Providing multi-level genetic evidence (colocation and MR), we prioritized several genes for potential drug repurposing opportunities. 5/6🚩
1
1
4
We then linked the 7 MRIBAGs to common variants to uncover their genetic architecture and associated them with our previously developed BAGs. 4/6🚩
1
0
1
We then linked the 7 MRIBAGs to plasma proteins and metabolites to understand the underlying biological pathways (e.g., regeneration and cell adhesion for the brain MRIBAG). 3/6🚩
1
0
0
We first benchmarked the model performance of the ML model to predict chronological age using organ-specific imaging features. We found that, compared to the brain and heart, other body systems predict much worse. This requires a community effort to better engineer image &
1
0
0
Excited to put the cherry on the top for our multi-organ, multi-omics biological aging clock work: After developing 3 brain MRI-based clocks (MRIBAG), 9 phenotype-based clocks (PhenoBAG), 11 proteome-based clocks (ProtBAG), 5 metabolome-based clocks (MetBAG), we have now
nature.com
Nature Medicine - A new study combines MRI data with proteomic, metabolomic and RNA data to develop and examine seven organ-specific MRI-based aging clocks, uncovering links to overall mortality...
2
9
33
We then linked the 7 MRIBAGs to common variants to uncover their genetic architecture and associated them with our previously developed BAGs. 4/6🚩
0
0
0
We then linked the 7 MRIBAGs to plasma proteins and metabolites to understand the underlying biological pathways (e.g., regeneration and cell adhesion for the brain MRIBAG). 3/6🚩
1
0
0
We first benchmarked the model performance of the ML model to predict chronological age using organ-specific imaging features. We found that, compared to the brain and heart, other body systems predict much worse. This requires a community effort to better engineer image &
1
0
0
📢 FACULTY POSITION💡🌟 Come join us!! The Yale Center for Brain and Mind Health (CBMH) is hiring new faculty at any rank with a research focus on AI in brain and mind health. For more info go to
1
20
44
A human pan-disease blood atlas of the circulating proteome https://t.co/YDBhXhsewS
science.org
The human blood proteome provides a holistic readout of health states through the assessment of thousands of circulating proteins. Here, we present a pan-disease resource to enable the study of...
0
2
10
I will be at #ASHG2025 in Boston from 14-17 OCT! Happy to meet old and new friends/colleagues!
2
0
3
Learning the natural history of human disease with generative transformers https://t.co/oepYqDXJOK
nature.com
Nature - Delphi-2M forecasts a person’s future health, covering more than 1,000 diseases, provides insights into co-morbidity dynamics and generates synthetic data for the training of AI...
0
0
1