龍爾平，研究員，博士生導師。2010年取得中山大學臨床醫學專業學士學位。2015年在中山大學臨床醫學專業攻讀博士學位，從事醫學人工智能研究。院校引進人才，2023年加入院校。曾于2020年在美國國立衛生研究院NIH進行博士后研究工作，主要研究功能基因組學。

長期從事人工智能和大數據的研究。運用單細胞功能組學技術，挖掘復雜疾病GWAS基因座內的功能機制；整合基因組和群醫學隊列，揭示重大疾病共性遺傳和多效演化規律；基于臨床電子信息和機器學習，探索大數據驅動的重大慢病智慧醫療模式。

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1. Long E#*, Wan P#, Chen Q, Lu Z, Choi J*. From function to translation:Decoding genetic susceptibility to human diseases via artificial intelligence. Cell Genomics 2023

2. Long E#, Yin J#, Funderburk KM, Xu M, Feng J, Kane A, Zhang T, Myers T, Golden A, Thakur R, Kong H, Jessop L, Kim EY, Jones K, Chari R, Machiela MJ, Yu K; Melanoma Meta-Analysis Consortium; Iles MM, Landi MT, Law MH, Chanock SJ, Brown KM, Choi J*. Massively parallel reporter assays with variant scoring identified functional variants and target genes for melanoma loci and highlighted cell-type specificity. American Journal of Human Genetics 2022 (IF=11.0, Highlighted by American Journal of Human Genetics, ‘Paving a post-GWAS pathway’)

3. Long E#, García-Closas M, Chanock SJ, Camargo MC, Banovich NE, Choi J*. The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility. Nature Communications 2022 (IF=16.6)

4. Byun J#, Han Y#, Li Y#, Xia J#, Long E#, Choi J, Xiao X, Zhu M, Zhou W, Sun R, Bossé Y, Song Z, Schwartz A, Lusk C, Rafnar T, Stefansson K, Zhang T, Zhao W, Pettit RW, Liu Y, Li X, Zhou H, Walsh KM, Gorlov I, Gorlova O, Zhu D, Rosenberg SM, Pinney S, Bailey-Wilson JE, Mandal D, de Andrade M, Gaba C, Willey JC, You M, Anderson M, Wiencke JK, Albanes D, Lam S, Tardon A, Chen C, Goodman G, Bojeson S, Brenner H, Landi MT, Chanock SJ, Johansson M, Muley T, Risch A, Wichmann HE, Bickeb?ller H, Christiani DC, Rennert G, Arnold S, Field JK, Shete S, Le Marchand L, Melander O, Brunnstrom H, Liu G, Andrew AS, Kiemeney LA, Shen H, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Patel A, Lan Q, Rothman N, Taylor F, Kachuri L, Witte JS, Sakoda LC, Spitz M, Brennan P, Lin X, McKay J, Hung RJ, Amos CI*. Trans-ancestry genome-wide meta-analysis of 60,290 cases and 896,712 controls identifies novel genomic cross-ancestry loci contributing to lung cancer susceptibility. Nature Genetics 2022 (IF=41.4, Highlighted by Cancer Discovery, ‘Cross-ancestry Genomic Data Reveal New Susceptibility Loci in Lung Cancer’)

5.Long E#, Zhang J*. The coupon collection behavior in human reproduction. Current Biology 2020 (IF=10.8, Highlighted by Nature, ‘Parents desire for one boy and one girl pushed trend in family patterns’; Highlighted by Current Biology, 'The Sex Ratio: A Biological and Statistical Conundrum')

6. Long E#, Zhang J*. Retesting the influences of mutation accumulation and antagonistic pleiotropy on human senescence and disease. Nature Ecology & Evolution 2019 (IF=19.1)

7. Long E#, Lin Z#, Xiang Y#, Xu A, Huang J, Huang X, Li X, Lin Z, Li J, Chen J, Zhang Y, Zhu Y, Chen C, Zhou Z, Ding X, Wu X, Li W, Chen H, Li R, Yang Y, Zheng W, Chen W, Lin H*, Liu Y*. Discrimination of the behavioural dynamics of visually impaired infants via deep learning. Nature Biomedical Engineering 2019 (IF=29.2, Cover Highlights)

8.Wan P#, Long E*. Pollution Control for a Healthier Chinese Population. Lancet Planetary Health 2018 (IF=28.8)

9. Long E#, Lin H#*, Liu Z, Wu X, Wang L, Jiang J, An Y, Lin Z, Li X, Chen J, Li J, Cao Q, Wang D, Liu X, Chen W, Liu Y*. An artificial intelligence platform for the multihospital collaborative management of congenital cataracts. Nature Biomedical Engineering 2017 (IF=29.2, C100, Cover Highlights)

10.Wan P, Long E*. Expectations of medical students in China. Lancet 2016 (IF=202.7)