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

Professional Social Media

  • LinkedIn: Available upon request

  • Professional Networks: Contact via email for professional networking

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

  1. Initial Contact: Email with collaboration proposal

  2. Exploratory Discussion: Virtual or in-person meeting

  3. Proposal Development: Joint development of research plan

  4. Resource Assessment: Evaluation of available resources

  5. Formal Agreement: Development of collaboration framework

  6. 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

Social Media Interactions

  • Professional discussions welcome

  • Tag appropriately when sharing work

  • Respectful discourse expected

  • Direct message for private matters

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