UROP Research Mentor Project Submission Portal: Submission #1351

serial: '1351'
sid: '21351'
uuid: ef1c84e0-295e-4045-bf49-91d6776cee13
uri: /urop-research-mentor-project-submission-portal
created: '1756303765'
completed: '1756304502'
changed: '1756324918'
in_draft: '0'
current_page: ''
remote_addr: 128.186.103.193
uid: '0'
langcode: en
webform_id: urop_project_proposal_portal
entity_type: node
entity_id: '1116'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  roundtable_info: {  }
  approximately_how_many_hours_a_week_would_the_research_assistant: 5-10
  are_you_currently_looking_for_students_: 'Yes'
  confirmation_1: '1'
  contact_email_fsu_email: ''
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: sstagg@fsu.edu
  faculty_advisor_confirmation: ''
  faculty_advisor_name: ''
  faculty_advisor_s_fsu_email: ''
  fsu_college: 'Arts and Sciences'
  fsu_department_if_applicable_: 'Biological Sciences'
  headshot_optional_: '63131'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: ''
  mentoring_philosophy: 'My philosophy is to provide students with the information and resources they need to be successful. Additionally, I assign a peer mentor who has experience on the project. We have weekly group meetings where I check in on their project and help them problem solve any issues with their research. My goal is to promote independent, research minded students who will thrive in dynamic cooperative team environment'
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: ''
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '2'
  other_faculty_collaborator_s_preferred_pronouns: ''
  overall_research_project_description: 'We are developing the next generation of software for automated data collection and processing for cryo-electron microscopy (cryo-EM). Cryo-EM is now a widely established and indispensable method for determining the high-resolution structures of biomedically important molecules. The pioneering software packages Leginon and Appion demonstrated the power of automated data acquisition and real-time processing, and there are now numerous programs for automated data acquisition and real-time processing. Despite advances in automation, data collection and processing still require a good deal of manual involvement of an expert electron microscopist. Building on the foundations of Leginon and Appion, we are developing the next generation software package that we call “Magellon”. Magellon will overcome existing bottlenecks and provide an avenue toward fully automated data acquisition that bypasses the need for user input during data collection. Importantly, this software will support the computational infrastructure to enable real-time image processing results to inform on and modify the ongoing data collection by learning where to acquire images in regions that will yield the highest quality data. Using machine learning and industry standard tools for distributed processing, we are developing new fast image assessment routines and providing an application programming interface to enable the incorporation of extensions and plugins from developers in the community. '
  please_add_any_additional_information_here: ''
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: 'https://www.magellon.org'
  please_select_the_choice_that_most_accurately_describes_your_exp: 'Partially Remote'
  please_select_the_location_of_your_project_: 'On FSU Main Campus'
  position_availability_for_student_research: 'Flexible schedule'
  position_title: Faculty
  primary_research_mentor_name: 'Scott Stagg'
  project_keywords: 'software development, machine learning, biochemistry, structural biology'
  relevant_student_major_s_: |-
    Computer Science
    Biochemistry
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: ''
  research_mentor_supervisor_if_different_from_above_: ''
  research_tasks_for_student_research_assistant_s_: 'Students will work with a team of programmers and biochemists to develop new tools for data collection and processing. The overall goals of the project have been modularized so that individual team members can work on a discrete task that contributes to the overall project. There are many potential tasks available depending on the interests of the student. Examples include: 1) adapting existing code to build backend tools that interface with the electron microscopes to drive data collection from the web, 2) using machine learning tools to automatically identify good areas of the sample for data collection, 3) developing front end web tools to interface with the instruments, 4) developing and testing deployment strategies for the software'
  roundtable_times_and_zoom_links: ''
  skills_that_research_assistants_may_need_: 'We can take most any student with a computational mindset. Students should have at least one skill in the following list: Python, MySQL, Web development, HTML, Javascript, RESTful programming'
  title_of_the_project: 'Magellon - an AI enabled software platform for automated cryo-EM data collection and processing'
  update_url: 'https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=pAXzn9Hl2I13S3uV143xqlRUK8zHqi5jXILHtwXntPQ'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: ''
  when_potential_research_assistants_are_reaching_out_via_email_wh: ''
  when_students_are_reaching_out_via_email_what_is_your_preferreda: ''
  would_you_like_to_participate_in_the_urop_research_mentor_round2: 'No'
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: ''
  year: '2025'