龙尔平，研究员，博士生导师。2010年取得中山大学临床医学专业学士学位。2015年在中山大学临床医学专业攻读博士学位，从事医学人工智能研究。院校引进人才，2023年加入院校。曾于2020年在美国国立卫生研究院NIH进行博士后研究工作，主要研究功能基因组学。

长期从事人工智能和大数据的研究。运用单细胞功能组学技术，挖掘复杂疾病GWAS基因座内的功能机制；整合基因组和群医学队列，揭示重大疾病共性遗传和多效演化规律；基于临床电子信息和机器学习，探索大数据驱动的重大慢病智慧医疗模式。

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, Bickeböller 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)