Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Ms. Darasimi Olorunlowu, Genomac Institute Inc. Nigeria

Darasimi Racheal Olorunlowu is a highly motivated Anatomy graduate from Ladoke Akintola University of Technology (LAUTECH), Nigeria, with a strong academic foundation and a CGPA of 4.17/5.00. With a deep passion for neurobiology and genomic research, particularly in the area of neurodegeneration, she has gained hands-on experience in histological techniques, molecular biology, and bioinformatics through her roles as a Research Assistant with the LAUTECH Neuroscience Group and as a current Research Intern at Genomac Institute Inc. Darasimi has also served as an academic tutor during her National Youth Service, where she mentored students in applied biology and neuroscience. Her technical proficiencies span PCR, DNA/RNA extraction, histological staining, neuroanatomical mapping, and data analysis using tools like R, SPSS, and GraphPad Prism. She is passionate about advancing knowledge in neuroscience and genomics and is committed to contributing meaningfully to cutting-edge biomedical research.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Darasimi Racheal Olorunlowu is a highly motivated and emerging researcher in the fields of neuroscience, genomics, and neurodegeneration, with a strong foundation in anatomy and biomedical research. Her dedication to understanding complex biological systems and her practical experience with advanced research methodologies make her a compelling candidate for the Best Researcher Award.

πŸŽ“ Education

  • Royalpath College, Akute, Lagos, Nigeria
    πŸ—“οΈ Jan 2013 – Aug 2016
    πŸ“œ Senior Secondary School Certificate
    πŸ“˜ Relevant Subjects: Mathematics, English, Chemistry, Physics, Biology

  • Ladoke Akintola University of Technology (LAUTECH), Nigeria
    πŸ—“οΈ Jan 2017 – Aug 2023
    πŸŽ“ Bachelor of Technology in Anatomy
    πŸ“Š CGPA: 4.17 / 5.00 (Equivalent: 3.63 / 4.00)
    🧠 Relevant Coursework: Neuroanatomy, Neurophysiology, Neurobiochemistry, Histopathology, Pharmacology

πŸ’Ό Work & Research Experience

  • πŸ”¬ Research Intern – Genomac Institute Inc.
    πŸ—“οΈ Jan 2025 – Present
    🧬 Bioinformatics pipeline development, NGS analysis, R & Geneious usage, SPSS-based reports

  • πŸ“˜ Academic Tutor (NYSC)
    πŸ—“οΈ Nov 2023 – Oct 2024
    🎯 Taught applied biology & neuroscience, organized tutorials, and mentored students

  • πŸ§ͺ Research Assistant – LAUTECH Neuroscience Group
    πŸ—“οΈ Feb 2023 – Dec 2024
    🧠 Focus on neurodegeneration: histological staining, SPSS/SAS data analysis, literature review, presentations

  • 🧫 Undergraduate Researcher
    πŸ—“οΈ Jan 2022 – Mar 2022
    πŸ’Š Studied hepatotoxicity of antimalarial drugs, tissue analysis, ethical animal handling

  • πŸ₯ Histopathology Intern – LAUTECH Teaching Hospital
    πŸ—“οΈ Aug 2021 – Nov 2021
    πŸ” Assisted in dissecting and analyzing neurological tissues, neuropath slides examination

πŸ† Achievements, Awards & Honors

  • πŸ“š Co-authorship in Peer-Reviewed Journals
    βœ… Contributed to neuroscience manuscripts with literature analysis & data interpretation

  • πŸ“Š Advanced Data Analysis Skills
    πŸŽ–οΈ Proficient in SPSS, R, SAS, GraphPad for bio-data and neuroimaging interpretation

  • 🧠 Contributions to Neurodegeneration Research
    πŸ… Conducted studies identifying neural tissue alterations and therapeutic targets

  • πŸŽ“ Graduated with Honors
    🌟 Achieved a First Class/Upper Credit equivalent CGPA in a competitive Anatomy program

PublicationΒ Top Notes:

The socioeconomic impact of Lassa fever in Nigeria

Molecular mechanism underlying stress response and adaptation

In silico analysis of hub genes and regulatory networks implicates the putamen in non-motor Parkinson’s disease disorders

Unraveling the Complex Tapestry of Mental Stress: a Multifaceted Exploration of Pathways, Consequences, and Remedies

Neurogenomics contribution to neurodegenerative diseases

Discover Public Health

 

 

Ernest Greene | Neuropsychology | Best Researcher Award

Ernest Greene | Neuropsychology | Best Researcher Award

Prof Dr. Ernest Greene, University of Southern California, United States.

Ernest Greene is a Professor of Psychology at the University of Southern California, where he has been a faculty member since 1969. He is renowned for his contributions to neuropsychology and visual perception. With a Ph.D. from the University of Oregon and postdoctoral work at UCLA’s Brain Research Institute, Greene’s research focuses on shape recognition and the brain’s visual processing systems. His extensive career includes patents and numerous peer-reviewed publications. As an active member of several prestigious associations, he continues to shape the future of neuroscience.Β πŸ§ πŸ“šπŸ‘¨β€πŸ«

Professional Profile:

Scopus

Education and Experience:

  • πŸŽ“Β B.A.: 1963, San Jose State University
  • πŸŽ“Β M.A.: 1965, San Jose State University
  • πŸŽ“Β Ph.D.: 1968, University of Oregon
  • 🧠 Postdoctoral Fellowship: 1969, Brain Research Institute, UCLA
  • πŸ‘¨β€πŸ«Β Faculty Member: USC Department of Psychology, 1969 to present
  • πŸŽ“Β Founding Director: Master’s in Human Behavior Program, 2009-2012
  • 🧠 CFO: Neuropsychology Foundation, Los Angeles, 1983-present
  • πŸ₯Β Neuropsychology Internship: Huntington Memorial Hospital, 1978-1979

 

Suitability for Best Researcher Award:

Ernest Greene, a Professor of Psychology at the University of Southern California, stands out as a remarkable candidate for the Best Researcher Award in the field of neuropsychology. His extensive education, including a Ph.D. from the University of Oregon and a postdoctoral fellowship at the Brain Research Institute at UCLA, establishes a strong foundation for his research endeavors.

Professional Development:

Throughout his illustrious career, Ernest Greene has been committed to advancing the field of psychology, particularly in neuropsychology and cognitive sciences. He founded the Master’s in Human Behavior program at USC and served as the head of the Brain & Cognitive Sciences area, influencing both academic curriculum and research. His editorial contributions to leading journals and service as the CFO of the Neuropsychology Foundation underscore his dedication to the scientific community. Greene’s innovative patents and leadership roles make him a highly respected figure in his field.Β πŸ§ πŸ”¬πŸ“œ

Research Focus:

Ernest Greene’s research focuses on understanding how the human brain encodes and processes shapes and patterns, particularly through vision. His work challenges conventional theories and introduces new neuromorphic concepts, exploring how rapid shape recognition occurs in the brain. Greene has conducted extensive studies on visual perception, including how the brain processes briefly displayed shapes and patterns. His research has applications in fields like artificial intelligence and cognitive neuroscience, helping to improve our understanding of brain functions related to vision.Β πŸ‘οΈπŸ§ πŸ”¬

Awards and Honors:

  • πŸ…Β Fellow – American Association for the Advancement of Science
  • πŸ†Β Fellow – American Psychological Association (Divisions 1, 3, 6)
  • πŸŽ–οΈΒ Fellow – Psychonomic Society
  • πŸ…Β Charter Fellow – Association for Psychological Science
  • πŸ†Β Charter Fellow – American Association for the Advancement of Preventive Psychology

Publication top Notes:

  • “Human perception of flicker-fused letters that are luminance balanced”Β (2024) – 0 citationsΒ πŸ“„πŸ‘οΈ
  • “Evaluating integration of letter fragments through contrast and spatially targeted masking”Β (2024) – 0 citationsΒ πŸ“„πŸ§©
  • “Evaluating the Talbot-Plateau law”Β (2023) – 2 citationsΒ πŸ“„πŸ”¬
  • “Evaluating spatiotemporal integration of shape cues”Β (2020) – 1 citationΒ πŸ“„πŸŒ€
  • “An Evolutionary Perspective on the Design of Neuromorphic Shape Filters”Β (2020) – 0 citationsΒ πŸ“„πŸ€–
  • “Masking the Integration of Complementary Shape Cues”Β (2019) – 0 citationsΒ πŸ“„πŸŽ­
  • “Comparing methods for scaling shape similarity”Β (2019) – 0 citationsΒ πŸ“„πŸ“
  • “Computational Scaling of Shape Similarity That has Potential for Neuromorphic Implementation”Β (2018) – 3 citationsΒ πŸ“„πŸ§ 
  • “New encoding concepts for shape recognition are needed”Β (2018) – 6 citationsΒ πŸ“„πŸ”
  • “Visual encoding of partial unknown shape boundaries”Β (2018) – 5 citationsΒ πŸ“„βœ‚οΈ