Wenjun HE

生物经济所实习生 at 深圳国家高技术产业创新中心
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
CN

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • 生物经济所实习生
      • Jul 2022 - Present

      参与深圳市医学科研设施建设研究,该项目初步计划通过实地走访、电话访谈、案头调研等方式,完成公立医院医学科研平台建设发展情况分析、深圳市医院医学科研创新平台发展情况分析、国内外医学科研平台建设经验借鉴、深圳市医学科研平台建设问题与挑战等内容,最终对深圳市医学科研设施建设提出发展建议 参与深圳市医学科研设施建设研究,该项目初步计划通过实地走访、电话访谈、案头调研等方式,完成公立医院医学科研平台建设发展情况分析、深圳市医院医学科研创新平台发展情况分析、国内外医学科研平台建设经验借鉴、深圳市医学科研平台建设问题与挑战等内容,最终对深圳市医学科研设施建设提出发展建议

    • PTA
      • May 2022 - Jul 2022

      • 参与新能源汽车行业的商业尽职调查,利用同花顺iFind、萝卜投研、洞见研报等渠道,搜集近60份报告和文章,并吸收研报中的信息,结合在中汽协、乘联会、各公司官网等权威和官方平台获取的原始数据,整合成图表50+张 • 产出40+页PPT,内容涵盖新能源汽车行业的整体市场分析、细分市场挖掘、竞争格局洞察、客户需求研究、未来展望等,并对特斯拉和比亚迪公司进行案例分析,从公司概览、产业和产品布局、研发能力、生态打造等方面分析其成功原因,最终对产出的内容进行汇报 • 参与新能源汽车行业的商业尽职调查,利用同花顺iFind、萝卜投研、洞见研报等渠道,搜集近60份报告和文章,并吸收研报中的信息,结合在中汽协、乘联会、各公司官网等权威和官方平台获取的原始数据,整合成图表50+张 • 产出40+页PPT,内容涵盖新能源汽车行业的整体市场分析、细分市场挖掘、竞争格局洞察、客户需求研究、未来展望等,并对特斯拉和比亚迪公司进行案例分析,从公司概览、产业和产品布局、研发能力、生态打造等方面分析其成功原因,最终对产出的内容进行汇报

    • 医药组实习生
      • May 2022 - Jul 2022

      • 参与《中国儿科、呼吸和肺部疾病、抗纤维化药物市场研究报告》项目,协助完成整体市场分析之呼吸系统和肺部疾病药物市场分析、细分市场分析之抗流感病毒药物市场分析,通过专家访谈和案头调研,产出近30页报告 • 参与《中国辅助生殖行业蓝皮书》项目,负责辅助生殖机构的竞争格局和领头机构的案例分析,产出了20+页PPT • 参与《中国儿科、呼吸和肺部疾病、抗纤维化药物市场研究报告》项目,协助完成整体市场分析之呼吸系统和肺部疾病药物市场分析、细分市场分析之抗流感病毒药物市场分析,通过专家访谈和案头调研,产出近30页报告 • 参与《中国辅助生殖行业蓝皮书》项目,负责辅助生殖机构的竞争格局和领头机构的案例分析,产出了20+页PPT

    • Student (final year project)
      • Apr 2021 - Jul 2021

      * Objectives: to understand the morphology of marine lysogenic phages and their phage-host interactions. * Duties: designed and conducted the experiment. Major procedures: sample collection, bacteria culturing and preservation and recovery, phage isolation and purification, phage cultivation and enrichment, TEM observation, plaque assay, and genome analysis. * Outcomes: 3 novel phages were isolated with wide host ranges, a strong relationship of “kill the relevant” was illustrated… Show more * Objectives: to understand the morphology of marine lysogenic phages and their phage-host interactions. * Duties: designed and conducted the experiment. Major procedures: sample collection, bacteria culturing and preservation and recovery, phage isolation and purification, phage cultivation and enrichment, TEM observation, plaque assay, and genome analysis. * Outcomes: 3 novel phages were isolated with wide host ranges, a strong relationship of “kill the relevant” was illustrated, auxiliary metabolic genes facilitated the lateral gene transfer, phylogenetic trees were constructed based on several conserved proteins, and the genetic similarities between every two of them were higher than 95%. Show less * Objectives: to understand the morphology of marine lysogenic phages and their phage-host interactions. * Duties: designed and conducted the experiment. Major procedures: sample collection, bacteria culturing and preservation and recovery, phage isolation and purification, phage cultivation and enrichment, TEM observation, plaque assay, and genome analysis. * Outcomes: 3 novel phages were isolated with wide host ranges, a strong relationship of “kill the relevant” was illustrated… Show more * Objectives: to understand the morphology of marine lysogenic phages and their phage-host interactions. * Duties: designed and conducted the experiment. Major procedures: sample collection, bacteria culturing and preservation and recovery, phage isolation and purification, phage cultivation and enrichment, TEM observation, plaque assay, and genome analysis. * Outcomes: 3 novel phages were isolated with wide host ranges, a strong relationship of “kill the relevant” was illustrated, auxiliary metabolic genes facilitated the lateral gene transfer, phylogenetic trees were constructed based on several conserved proteins, and the genetic similarities between every two of them were higher than 95%. Show less

    • Research Assistant
      • Jan 2021 - Apr 2021

      * Objectives: to investigate the biological properties and differentiation pattern of hUCMSCs after cocultured with osteoblastically induced hDPCs, and to explore the optimal ratio between two cell lines for osteogenic differentiation. * Duties: primary & sub-culture and identification of hDPCs, and co-culture of hUCMSCs and osteoblastically induced hDPCs. * Outcomes: after 14 days, the cocultured cells with the cell number ratio of 1:1 showed higher proliferation rate, promoting the… Show more * Objectives: to investigate the biological properties and differentiation pattern of hUCMSCs after cocultured with osteoblastically induced hDPCs, and to explore the optimal ratio between two cell lines for osteogenic differentiation. * Duties: primary & sub-culture and identification of hDPCs, and co-culture of hUCMSCs and osteoblastically induced hDPCs. * Outcomes: after 14 days, the cocultured cells with the cell number ratio of 1:1 showed higher proliferation rate, promoting the differentiation of hUCMSCs into odontoblast cells and the expression of factors associated with angiogenesis. Show less * Objectives: to investigate the biological properties and differentiation pattern of hUCMSCs after cocultured with osteoblastically induced hDPCs, and to explore the optimal ratio between two cell lines for osteogenic differentiation. * Duties: primary & sub-culture and identification of hDPCs, and co-culture of hUCMSCs and osteoblastically induced hDPCs. * Outcomes: after 14 days, the cocultured cells with the cell number ratio of 1:1 showed higher proliferation rate, promoting the… Show more * Objectives: to investigate the biological properties and differentiation pattern of hUCMSCs after cocultured with osteoblastically induced hDPCs, and to explore the optimal ratio between two cell lines for osteogenic differentiation. * Duties: primary & sub-culture and identification of hDPCs, and co-culture of hUCMSCs and osteoblastically induced hDPCs. * Outcomes: after 14 days, the cocultured cells with the cell number ratio of 1:1 showed higher proliferation rate, promoting the differentiation of hUCMSCs into odontoblast cells and the expression of factors associated with angiogenesis. Show less

    • MEL 2020 Summer Undergraduate Research Fellowship
      • Sep 2020 - Dec 2020

      * Objectives: to discuss the applicability of three different observation methods (chemical classification method, image recognition method and navigation observation method) in reflecting the actual dynamics of the phytoplankton community in estuary. * Duties: Sample collection and analysis, establishment of phytoplankton community structure based on CHEMTAX method, operating the FlowCam to capture and recognize phytoplankton particles assisted by convolutional neural networks (CNN), in… Show more * Objectives: to discuss the applicability of three different observation methods (chemical classification method, image recognition method and navigation observation method) in reflecting the actual dynamics of the phytoplankton community in estuary. * Duties: Sample collection and analysis, establishment of phytoplankton community structure based on CHEMTAX method, operating the FlowCam to capture and recognize phytoplankton particles assisted by convolutional neural networks (CNN), in situ chlorophyll fluorescence data measurement using FerryBox system and multi-wavelength-excitation chlorophyll fluorescence. * Outcomes: The accuracy of the combination of FlowCam and CNN reached to 90% and above, suggesting a progress of automatic classification. The results of three methods were eventually converted to the biomass for comparison. The results obtained by CHEMTAX and FlowCam were highly similar and accurate while a significant disadvantage of the in situ measurement was the limited groups to be detected due to the limited excitation channels. Show less * Objectives: to discuss the applicability of three different observation methods (chemical classification method, image recognition method and navigation observation method) in reflecting the actual dynamics of the phytoplankton community in estuary. * Duties: Sample collection and analysis, establishment of phytoplankton community structure based on CHEMTAX method, operating the FlowCam to capture and recognize phytoplankton particles assisted by convolutional neural networks (CNN), in… Show more * Objectives: to discuss the applicability of three different observation methods (chemical classification method, image recognition method and navigation observation method) in reflecting the actual dynamics of the phytoplankton community in estuary. * Duties: Sample collection and analysis, establishment of phytoplankton community structure based on CHEMTAX method, operating the FlowCam to capture and recognize phytoplankton particles assisted by convolutional neural networks (CNN), in situ chlorophyll fluorescence data measurement using FerryBox system and multi-wavelength-excitation chlorophyll fluorescence. * Outcomes: The accuracy of the combination of FlowCam and CNN reached to 90% and above, suggesting a progress of automatic classification. The results of three methods were eventually converted to the biomass for comparison. The results obtained by CHEMTAX and FlowCam were highly similar and accurate while a significant disadvantage of the in situ measurement was the limited groups to be detected due to the limited excitation channels. Show less

    • Intern
      • May 2020 - Aug 2020

      (1) Tested growth indexes of seedlings of Bruguiera gymnorhiza and Kandelia obovata under different temperature stresses. (2) Fitted allometric equations of mangrove species (aged 3-5 years) in Yunxiao, Fujian; (3) Served as a team leader of interns, designed the experiment, prepared materials and analyzed data. (1) Tested growth indexes of seedlings of Bruguiera gymnorhiza and Kandelia obovata under different temperature stresses. (2) Fitted allometric equations of mangrove species (aged 3-5 years) in Yunxiao, Fujian; (3) Served as a team leader of interns, designed the experiment, prepared materials and analyzed data.

    • Intern
      • Jan 2019 - May 2020

      (1) Assisting Drafting the Marine Industry Standards of the People’s Republic of China on Blue Carbon Ecosystem Carbon Scale Survey and Appraisal Technology Criteria: - Reviewed around 300 literatures, integrated parameters and equations for estimating biomass and carbon stock of 18 common mangrove species in different areas of China. (2) Death Factors and Ecological Restoration Plan for Mangrove at Langen Village, Baisha Town, Hepu County, Guangxi: - Extracted environmental DNA of… Show more (1) Assisting Drafting the Marine Industry Standards of the People’s Republic of China on Blue Carbon Ecosystem Carbon Scale Survey and Appraisal Technology Criteria: - Reviewed around 300 literatures, integrated parameters and equations for estimating biomass and carbon stock of 18 common mangrove species in different areas of China. (2) Death Factors and Ecological Restoration Plan for Mangrove at Langen Village, Baisha Town, Hepu County, Guangxi: - Extracted environmental DNA of mangrove soil samples of both marine reclamation land and non-reclaimed land, searched DNA barcode of 4 large dominant marine animal species in Genbank, completed Fluorescence quantitative PCR, and used 2-ΔΔCt Method for data processing; (3) Survey of Carbon Stock of Mangroves at 11 regions in China and 2 regions in Malaysia: - Created fitting allometric equations for different mangrove species, measured necessary parameters (height, diameter at breast height and crown width), obtained the biomass of mangroves and through carbon conversion coefficient further estimating the carbon stock. Show less (1) Assisting Drafting the Marine Industry Standards of the People’s Republic of China on Blue Carbon Ecosystem Carbon Scale Survey and Appraisal Technology Criteria: - Reviewed around 300 literatures, integrated parameters and equations for estimating biomass and carbon stock of 18 common mangrove species in different areas of China. (2) Death Factors and Ecological Restoration Plan for Mangrove at Langen Village, Baisha Town, Hepu County, Guangxi: - Extracted environmental DNA of… Show more (1) Assisting Drafting the Marine Industry Standards of the People’s Republic of China on Blue Carbon Ecosystem Carbon Scale Survey and Appraisal Technology Criteria: - Reviewed around 300 literatures, integrated parameters and equations for estimating biomass and carbon stock of 18 common mangrove species in different areas of China. (2) Death Factors and Ecological Restoration Plan for Mangrove at Langen Village, Baisha Town, Hepu County, Guangxi: - Extracted environmental DNA of mangrove soil samples of both marine reclamation land and non-reclaimed land, searched DNA barcode of 4 large dominant marine animal species in Genbank, completed Fluorescence quantitative PCR, and used 2-ΔΔCt Method for data processing; (3) Survey of Carbon Stock of Mangroves at 11 regions in China and 2 regions in Malaysia: - Created fitting allometric equations for different mangrove species, measured necessary parameters (height, diameter at breast height and crown width), obtained the biomass of mangroves and through carbon conversion coefficient further estimating the carbon stock. Show less

Education

  • the Chinese University of Hong Kong
    Master's Degree of Science, Biochemical and Biomedical Sciences
    2021 - 2022
  • Xiamen University
    Bachelor's Degree of Science, Marine Biotechnology
    2017 - 2021

Community

You need to have a working account to view this content. Click here to join now