Contact
I’m always interested in discussing research collaborations, career opportunities, and connecting with fellow researchers and practitioners.
Contact Information
Primary Contact
Email: st7ma784@gmail.com
Phone: 07856 651445
Position: AI/ML Engineer
Address: 84 Grange Road
Birmingham, UK
B14 7RJ
United Kingdom
Office Hours
Availability: By appointment - please email to schedule
Response Time: Typically within 2-3 business days
Preferred Meeting Times: Flexible scheduling available
Note: Please email in advance to confirm availability.
Professional Profiles
Academic Networks
ORCID: 0009-0005-8073-0410 *
Google Scholar: Dr. Stephen Mander (Search for publications)
ResearchGate: Available upon request
Academia.edu: Available upon request
Development Platforms
GitHub: st7ma784 (Research code and open-source contributions)
Technical Repositories: Available for specific projects upon request
Best Ways to Reach Me
For Different Purposes
🔬 Research Collaboration
Best Contact: Email with “Collaboration Inquiry” in subject line
Response Time: Within 2-3 business days
Information to Include:
Brief description of your research interests
Specific collaboration ideas or questions
Your background and current position
Timeline and scope of potential collaboration
📚 Academic Opportunities
Best Contact: Email with “Academic Opportunity” in subject line
For: Job opportunities, speaking invitations, review requests
Information to Include:
Detailed description of the opportunity
Timeline and requirements
Why you think I’d be a good fit
Any relevant deadlines
💻 Technical Support/Software
Best Contact: GitHub issues for software-specific questions
Email: For general technical discussions
Include:
Specific software/tool in question
Error messages or specific issues
Your computing environment details
What you’ve already tried
🎓 Student Inquiries
Best Contact: Email with “Student Inquiry” in subject line
For: Prospective students, internship opportunities, thesis supervision
Include:
Your academic background and interests
Specific programs or opportunities of interest
CV/resume attachment
Relevant coursework or experience
📰 Media and Press
Best Contact: Email with “Media Inquiry” in subject line
Response Time: Within 24-48 hours for urgent requests
Include:
Publication/outlet name
Story topic and angle
Specific expertise you’re seeking
Deadline requirements
Location and Directions
Current Location
Based in: Birmingham, UK
Available for: Remote consultations, virtual meetings
Travel: Available for on-site consultations and collaborations (UK and international)
Meeting Options
Primary: Virtual meetings via video conferencing
In-person: Available in Birmingham area or by travel arrangement
Phone: Available for quick discussions
Meeting Preferences
In-Person Meetings
Location Options:
Birmingham area (preferred)
Client/partner locations (UK)
Conference venues and professional events
University locations (Lancaster University connections)
Typical Duration: 30-90 minutes depending on project scope
Scheduling: Please suggest 2-3 time options
Travel: Available for UK-wide and international travel for significant projects
Virtual Meetings
Preferred Platforms:
Zoom (institutional account)
Google Meet
Microsoft Teams
Other platforms by request
Time Zones: GMT/BST (UK Time) - please specify your timezone when scheduling international calls
International: Happy to accommodate different time zones for global collaborations
Phone Calls
Available for: Quick discussions, urgent matters
Scheduling: Please email first to arrange
International: Can arrange international calling
Response Times
Email Response
Standard Inquiries: 2-3 business days
Urgent Research Matters: Within 24 hours
Student Questions: Within 48 hours
Media Requests: Within 24-48 hours
Note: Response times may be longer during:
Conference travel
Field work periods
Academic breaks
Sabbatical periods (with advance notice)
Out-of-Office Periods
I will set appropriate auto-reply messages during:
Conference attendance
Vacation periods
Sabbatical leaves
Extended field work
Collaboration Inquiries
What Makes a Good Collaboration Inquiry?
Excellent Inquiries Include:
Clear description of research interests
Specific collaboration ideas
Mutual benefit propositions
Realistic timelines
Background information about you/your group
Example Good Email:
Subject: Collaboration Inquiry - [Specific Research Area]
Dear Dr. Mander,
I am [Your Position] at [Your Institution] working on [Brief Research Description].
I've been following your work on [Cross-modal learning/Multi-encoder systems/HPC optimization],
particularly your research on [Specific Area of Interest].
I'm interested in exploring a collaboration on [Specific Project/Idea] because
[Reason for Collaboration]. My expertise in [Your Expertise] could complement
your work in [AI/ML/NLP] to address [Research Question].
I'd be happy to discuss this further at your convenience. I'm particularly
interested in [Specific Aspects] and believe we could make progress on
[Specific Goals] within [Realistic Timeline].
Best regards,
[Your Name]
Collaboration Process
Initial Contact: Email with collaboration proposal
Exploratory Discussion: Virtual or in-person meeting
Proposal Development: Joint development of research plan
Resource Assessment: Evaluation of available resources
Formal Agreement: Development of collaboration framework
Implementation: Begin collaborative activities
Frequently Asked Questions
Academic Opportunities
Q: Are you available for consulting projects?
A: Yes, I offer consulting services in AI/ML, HPC optimization, and cross-modal learning systems. Please email with project details.
Q: Do you provide training or workshops?
A: Available for technical training in machine learning, Python/C++, and HPC systems. Contact for availability and rates.
Q: Can you supervise research projects?
A: Open to discussing research supervision opportunities, particularly in AI/ML and cross-modal systems.
Research Questions
Q: Can you provide data/code from your published papers?
A: Most research data and code are available through [repositories/links]. For specific requests, please email with details.
Q: Are you available for expert consultation?
A: Yes, available for expert consultation in AI/ML, cross-modal learning, and HPC systems. Please email with specific requirements and timeline.
Q: Can you review my manuscript/grant proposal?
A: Available for technical reviews in my areas of expertise. Please allow 1-2 weeks for review depending on complexity.
Technical Support
Q: I’m having trouble with your software. Can you help?
A: Please check documentation first, then post issues on GitHub. For complex problems, email with full details.
Q: Can you provide training on your methods?
A: Yes, I offer training in machine learning techniques, cross-modal systems, Python/C++ programming, and HPC optimization. Contact for curriculum and scheduling.
Professional Etiquette
Email Guidelines
Use clear, descriptive subject lines
Keep initial emails concise (under 200 words)
Include relevant attachments (CV, papers, etc.)
Be specific about what you’re requesting
Respect response time expectations
Meeting Etiquette
Arrive on time (or join virtual meetings promptly)
Come prepared with specific questions/topics
Be respectful of time constraints
Follow up with agreed-upon action items
Privacy and Data
Contact Information Usage
Professional contact only
No third-party sharing without permission
Opt-out available for all communications
GDPR compliant practices
Meeting Privacy
Virtual meetings may be recorded (with advance notice)
Confidential research discussions respected
NDAs available for sensitive collaborations
Emergency Contact
For urgent technical or research-related matters:
Primary Contact: st7ma784@gmail.com
Phone: 07856 651445
Response Time: Within 24 hours for urgent matters
Professional Network: Available through Lancaster University connections for academic emergencies
Thank you for your interest in connecting! I look forward to discussing AI/ML projects, research collaborations, and technical consulting opportunities.
Last updated: June 2025
Social Media Interactions
Professional discussions welcome
Tag appropriately when sharing work
Respectful discourse expected
Direct message for private matters